Deck 6: The Normal Distribution

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Question
The owner of a fish market determined that the mean weight for a catfish is 3.2 pounds with a standard deviation of 0.8 pound.Assuming the weights of catfish are normally distributed, the probability that a randomly selected catfish will weigh less than 2.2 pounds is ?
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Question
The value of the cumulative standardized normal distribution at 1.5X is 0.9332.The value of X is

A)0.10
B)0.50
C)1.00
D)1.50
Question
For some value of Z, the value of the cumulative standardized normal distribution is 0.2090.The value of Z is

A)- 0.81
B)- 0.31
C)0.31
D)1.96
Question
In its standardized form, the normal distribution

A)has a mean of 0 and a standard deviation of 1.
B)has a mean of 1 and a variance of 0.
C)has an area equal to 0.5.
D)cannot be used to approximate discrete probability distributions.
Question
If a set of data is approximately normally distributed, we would find that approximately

A)2 of every 3 observations would fall between ±\pm 1 standard deviation around the mean.
B)4 of every 5 observations would fall between ±\pm 1.28 standard deviations around the mean.
C)19 of every 20 observations would fall between ±\pm 2 standard deviations around the mean.
D)All the above.
Question
The owner of a fish market determined that the mean weight for a catfish is 3.2 pounds with a standard deviation of 0.8 pound.Assuming the weights of catfish are normally distributed, the probability that a randomly selected catfish will weigh more than 4.4 pounds is ?
Question
If we know that the length of time it takes a college student to find a parking spot in the library parking lot follows a normal distribution with a mean of 3.5 minutes and a standard deviation of 1 minute, find the probability that a randomly selected college student will find a parking spot inthe library parking lot in less than 3 minutes.

A)0.3551
B)0.3085
C)0.2674
D)0.1915
Question
The value of the cumulative standardized normal distribution at Z is 0.8770.The value of Z is

A)0.18
B)0.81
C)1.16
D)1.47
Question
The owner of a fish market determined that the mean weight for a catfish is 3.2 pounds with a standard deviation of 0.8 pound.A citation catfish should be one of the top 2% in weight.Assuming the weights of catfish are normally distributed, at what weight (in pounds) should the citation designation be established?

A)1.56 pounds
B)4.84 pounds
C)5.20 pounds
D)7.36 pounds
Question
The owner of a fish market determined that the mean weight for a catfish is 3.2 pounds with a standard deviation of 0.8 pound.Assuming the weights of catfish are normally distributed, the probability that a randomly selected catfish will weigh between 3 and 5 pounds is ?
Question
For some value of Z, the value of the cumulative standardized normal distribution is 0.8340.The value of Z is

A)0.07
B)0.37
C)0.97
D)1.06
Question
Given that X is a normally distributed variable with a mean of 50 and a standard deviation of 2, find the probability that X is between 47 and 54.
Question
The owner of a fish market determined that the mean weight for a catfish is 3.2 pounds with a standard deviation of 0.8 pound.Assuming the weights of catfish are normally distributed, above what weight (in pounds) do 89.80% of the weights occur?
Question
If we know that the length of time it takes a college student to find a parking spot in the library parking lot follows a normal distribution with a mean of 3.5 minutes and a standard deviation of 1 minute, 75.8% of the college students will take more than how many minutes when trying to finda parking spot in the library parking lot?

A)2.8 minutes
B)3.2 minutes
C)3.4 minutes
D)4.2 minutes
Question
If we know that the length of time it takes a college student to find a parking spot in the library parking lot follows a normal distribution with a mean of 3.5 minutes and a standard deviation of 1 minute, find the probability that a randomly selected college student will take between 2 and 4.5 minutes to find a parking spot in the library parking lot.

A)0.0919
B)0.2255
C)0.4938
D)0.7745
Question
A company that sells annuities must base the annual payout on the probability distribution of the length of life of the participants in the plan.Suppose the probability distribution of the lifetimes of the participants is approximately a normal distribution with a mean of 68 years and a standarddeviation of 3.5 years.Find the age at which payments have ceased for approximately 86% of the plan participants.
Question
Which of the following about the normal distribution is not true?

A)Theoretically, the mean, median, and mode are the same.
B)About 2/3 of the observations fall within ±\pm 1 standard deviation from the mean.
C)It is a discrete probability distribution.
D)Its parameters are the mean, μ\mu , and standard deviation, σ\sigma .
Question
A company that sells annuities must base the annual payout on the probability distribution of the length of life of the participants in the plan.Suppose the probability distribution of the lifetimes of the participants is approximately a normal distribution with a mean of 68 years and a standarddeviation of 3.5 years.What proportion of the plan recipients would receive payments beyond age75?
Question
The value of the cumulative standardized normal distribution at Z is 0.6255.The value of Z is

A)0.99
B)0.40
C)0.32
D)0.16
Question
A company that sells annuities must base the annual payout on the probability distribution of the length of life of the participants in the plan.Suppose the probability distribution of the lifetimes of the participants is approximately a normal distribution with a mean of 68 years and a standard deviation of 3.5 years.What proportion of the plan recipients die before they reach the standard retirement age of 65?
Question
A food processor packages orange juice in small jars.The weights of the filled jars are approximately normally distributed with a mean of 10.5 ounces and a standard deviation of 0.3 ounce.Find the proportion of all jars packaged by this process that have weights that fall below10.875 ounces.
Question
The "middle spread," that is the middle 50% of the normal distribution, is equal to plus or minus one standard deviation.
Question
The amount of tea leaves in a can from a production line is normally distributed with The amount of tea leaves in a can from a production line is normally distributed with   grams and   grams.What is the probability that a randomly selected can will containbetween 100 and 120 grams of tea leaves?<div style=padding-top: 35px> grams and The amount of tea leaves in a can from a production line is normally distributed with   grams and   grams.What is the probability that a randomly selected can will containbetween 100 and 120 grams of tea leaves?<div style=padding-top: 35px> grams.What is the probability that a randomly selected can will containbetween 100 and 120 grams of tea leaves?
Question
The probability that a standard normal variable Z is positive is .
Question
If a data set is approximately normally distributed, its normal probability plot would be S-shaped.
Question
The probability that a standard normal variable, Z, falls between - 1.50 and 0.81 is0.7242.
Question
The amount of tea leaves in a can from a production line is normally distributed with The amount of tea leaves in a can from a production line is normally distributed with   grams and   grams.What is the probability that a randomly selected can will containbetween 100 and 110 grams of tea leaves?<div style=padding-top: 35px> grams and The amount of tea leaves in a can from a production line is normally distributed with   grams and   grams.What is the probability that a randomly selected can will containbetween 100 and 110 grams of tea leaves?<div style=padding-top: 35px> grams.What is the probability that a randomly selected can will containbetween 100 and 110 grams of tea leaves?
Question
The amount of tea leaves in a can from a production line is normally distributed with The amount of tea leaves in a can from a production line is normally distributed with   grams and   grams.What is the probability that a randomly selected can will contain atleast 100 grams of tea leaves?<div style=padding-top: 35px> grams and The amount of tea leaves in a can from a production line is normally distributed with   grams and   grams.What is the probability that a randomly selected can will contain atleast 100 grams of tea leaves?<div style=padding-top: 35px> grams.What is the probability that a randomly selected can will contain atleast 100 grams of tea leaves?
Question
Any set of normally distributed data can be transformed to its standardized form.
Question
A food processor packages orange juice in small jars.The weights of the filled jars are approximately normally distributed with a mean of 10.5 ounces and a standard deviation of 0.3 ounce.Find the proportion of all jars packaged by this process that have weights that fall above10.95 ounces.
Question
The amount of tea leaves in a can from a production line is normally distributed with The amount of tea leaves in a can from a production line is normally distributed with   grams and   grams.What is the probability that a randomly selected can will containbetween 82 and 100 grams of tea leaves?<div style=padding-top: 35px> grams and The amount of tea leaves in a can from a production line is normally distributed with   grams and   grams.What is the probability that a randomly selected can will containbetween 82 and 100 grams of tea leaves?<div style=padding-top: 35px> grams.What is the probability that a randomly selected can will containbetween 82 and 100 grams of tea leaves?
Question
The probability that a standard normal variable, Z, falls between -2.00 and -0.44 is 0.6472.
Question
The probability that a standard normal variable, Z, is between 1.00 and 3.00 is0.1574.
Question
The amount of tea leaves in a can from a production line is normally distributed with The amount of tea leaves in a can from a production line is normally distributed with   grams and   grams.What is the probability that a randomly selected can will contain lessthan 100 grams of tea leaves?<div style=padding-top: 35px> grams and The amount of tea leaves in a can from a production line is normally distributed with   grams and   grams.What is the probability that a randomly selected can will contain lessthan 100 grams of tea leaves?<div style=padding-top: 35px> grams.What is the probability that a randomly selected can will contain lessthan 100 grams of tea leaves?
Question
The probability that a standard normal variable, Z, is between 1.50 and 2.10 is the same as the probability Z is between - 2.10 and - 1.50.
Question
A normal probability plot may be used to assess the assumption of normality for a set of data.
Question
Theoretically, the mean, median, and the mode are all equal for a normal distribution.
Question
The probability that a standard normal variable, Z, is below 1.96 is 0.4750.
Question
A worker earns $15 per hour at a plant in China and is told that only 2.5% of all workers make a higher wage.If the wage is assumed to be normally distributed and the standard deviation of wage rates is $5 per hour, the mean wage for the plant is $7.50 per hour.
Question
The probability that a standard normal variable, Z, is less than 5.0 is approximately 0.
Question
You were told that the mean score on a statistics exam is 75 with the scores normally distributed.In addition, you know the probability of a score between 55 and 60 is 4.41% and that the probability of a score greater than 90 is 6.68%.What is the probability of a score greater than95?
Question
The amount of tea leaves in a can from a production line is normally distributed with The amount of tea leaves in a can from a production line is normally distributed with   grams and   grams.Approximately 83% of the can will have at least how many grams oftea leaves?<div style=padding-top: 35px> grams and The amount of tea leaves in a can from a production line is normally distributed with   grams and   grams.Approximately 83% of the can will have at least how many grams oftea leaves?<div style=padding-top: 35px> grams.Approximately 83% of the can will have at least how many grams oftea leaves?
Question
You were told that the amount of time elapsed between consecutive trades on a foreign stock exchange market followed a normal distribution with a mean of 15 seconds.You were also told that the probability that the time elapsed between two consecutive trades to fall between 16 to 17 seconds was 13%.The probability that the time elapsed between two consecutive trades would fall below 13 seconds was 7%.What is the probability that the time elapsed between two consecutive trades will be longer than 17 seconds?
Question
You were told that the amount of time elapsed between consecutive trades on a foreign stock exchange market followed a normal distribution with a mean of 15 seconds.You were also told that the probability that the time elapsed between two consecutive trades to fall between 16 to 17 seconds was 13%.The probability that the time elapsed between two consecutive trades would fall below 13 seconds was 7%.The probability is 80% that the time elapsed will be longer than how many seconds?
Question
You were told that the amount of time elapsed between consecutive trades on a foreign stock exchange market followed a normal distribution with a mean of 15 seconds.You were also told that the probability that the time elapsed between two consecutive trades to fall between 16 to 17 seconds was 13%.The probability that the time elapsed between two consecutive trades would fall below 13 seconds was 7%.The middle 86% of the time elapsed will fall between which two numbers?
Question
You were told that the amount of time elapsed between consecutive trades on a foreign stock exchange market followed a normal distribution with a mean of 15 seconds.You were also told that the probability that the time elapsed between two consecutive trades to fall between 16 to 17 seconds was 13%.The probability that the time elapsed between two consecutive trades would fall below 13 seconds was 7%.What is the probability that the time elapsed between two consecutive trades will be between 14 and 17 seconds?
Question
The true length of boards cut at a mill with a listed length of 10 feet is normally distributed with a mean of 123 inches and a standard deviation of 1 inch.What proportion of the boards will be between 121 and 124 inches?
Question
You were told that the amount of time elapsed between consecutive trades on a foreign stock exchange market followed a normal distribution with a mean of 15 seconds.You were also told that the probability that the time elapsed between two consecutive trades to fall between 16 to 17 seconds was 13%.The probability that the time elapsed between two consecutive trades would fall below 13 seconds was 7%.What is the probability that the time elapsed between two consecutive trades will be between 13 and 14 seconds?
Question
You were told that the mean score on a statistics exam is 75 with the scores normally distributed.In addition, you know the probability of a score between 55 and 60 is 4.41% and that the probability of a score greater than 90 is 6.68%.What is the probability of a score between 60 and75?
Question
The true length of boards cut at a mill with a listed length of 10 feet is normally distributed with a mean of 123 inches and a standard deviation of 1 inch.What proportion of the boards will be over125 inches in length?
Question
You were told that the mean score on a statistics exam is 75 with the scores normally distributed.In addition, you know the probability of a score between 55 and 60 is 4.41% and that the probability of a score greater than 90 is 6.68%.What is the probability of a score between 75 and90?
Question
You were told that the amount of time elapsed between consecutive trades on a foreign stock exchange market followed a normal distribution with a mean of 15 seconds.You were also told that the probability that the time elapsed between two consecutive trades to fall between 16 to 17 seconds was 13%.The probability that the time elapsed between two consecutive trades would fall below 13 seconds was 7%.What is the probability that the time elapsed between two consecutive trades will be between 15 and 16 seconds?
Question
You were told that the mean score on a statistics exam is 75 with the scores normally distributed.In addition, you know the probability of a score between 55 and 60 is 4.41% and that the probability of a score greater than 90 is 6.68%.What is the probability of a score between 90 and95?
Question
You were told that the amount of time elapsed between consecutive trades on a foreign stock exchange market followed a normal distribution with a mean of 15 seconds.You were also told that the probability that the time elapsed between two consecutive trades to fall between 16 to 17 seconds was 13%.The probability that the time elapsed between two consecutive trades would fall below 13 seconds was 7%.What is the probability that the time elapsed between two consecutive trades will be between 13 and 16 seconds?
Question
The true length of boards cut at a mill with a listed length of 10 feet is normally distributed with a mean of 123 inches and a standard deviation of 1 inch.What proportion of the boards will be less than 124 inches?
Question
The amount of tea leaves in a can from a production line is normally distributed with The amount of tea leaves in a can from a production line is normally distributed with   grams and   grams.What is the probability that a randomly selected can will contain lessthan 100 grams or more than 120 grams of tea leaves?<div style=padding-top: 35px> grams and The amount of tea leaves in a can from a production line is normally distributed with   grams and   grams.What is the probability that a randomly selected can will contain lessthan 100 grams or more than 120 grams of tea leaves?<div style=padding-top: 35px> grams.What is the probability that a randomly selected can will contain lessthan 100 grams or more than 120 grams of tea leaves?
Question
You were told that the mean score on a statistics exam is 75 with the scores normally distributed.In addition, you know the probability of a score between 55 and 60 is 4.41% and that the probability of a score greater than 90 is 6.68%.What is the probability of a score lower than 55?
Question
You were told that the amount of time elapsed between consecutive trades on a foreign stock exchange market followed a normal distribution with a mean of 15 seconds.You were also told that the probability that the time elapsed between two consecutive trades to fall between 16 to 17 seconds was 13%.The probability that the time elapsed between two consecutive trades would fall below 13 seconds was 7%.The middle 60% of the time elapsed will fall between which two numbers?
Question
You were told that the amount of time elapsed between consecutive trades on a foreign stock exchange market followed a normal distribution with a mean of 15 seconds.You were also told that the probability that the time elapsed between two consecutive trades to fall between 16 to 17 seconds was 13%.The probability that the time elapsed between two consecutive trades would fall below 13 seconds was 7%.The probability is 20% that the time elapsed will be shorter how many seconds?
Question
You were told that the amount of time elapsed between consecutive trades on a foreign stock exchange market followed a normal distribution with a mean of 15 seconds.You were also told that the probability that the time elapsed between two consecutive trades to fall between 16 to 17 seconds was 13%.The probability that the time elapsed between two consecutive trades would fall below 13 seconds was 7%.What is the probability that the time elapsed between two consecutive trades will be between 14 and 15 seconds?
Question
Suppose Z has a standard normal distribution with a mean of 0 and standard deviation of 1.So,50% of the possible Z values are between and (symmetrically distributed about the mean).
Question
Suppose Z has a standard normal distribution with a mean of 0 and standard deviation of 1.So,85% of the possible Z values are smaller than .
Question
You were told that the mean score on a statistics exam is 75 with the scores normally distributed.In addition, you know the probability of a score between 55 and 60 is 4.41% and that the probability of a score greater than 90 is 6.68%.What is the probability of a score between 55 and90?
Question
Suppose Z has a standard normal distribution with a mean of 0 and standard deviation of 1.The probability that Z is less than 1.15 is .
Question
Suppose Z has a standard normal distribution with a mean of 0 and standard deviation of 1.The probability that Z is between -0.88 and 2.29 is .
Question
Suppose Z has a standard normal distribution with a mean of 0 and standard deviation of 1.The probability that Z is less than -2.20 is .
Question
You were told that the mean score on a statistics exam is 75 with the scores normally distributed.In addition, you know the probability of a score between 55 and 60 is 4.41% and that the probability of a score greater than 90 is 6.68%.What is the probability of a score between 55 and95?
Question
You were told that the mean score on a statistics exam is 75 with the scores normally distributed.In addition, you know the probability of a score between 55 and 60 is 4.41% and that the probability of a score greater than 90 is 6.68%.The middle 95.46% of the students will score between which two scores?
Question
Suppose Z has a standard normal distribution with a mean of 0 and standard deviation of 1.The probability that Z is between -2.33 and 2.33 is .
Question
Suppose Z has a standard normal distribution with a mean of 0 and standard deviation of 1.The probability that Z values are larger than is 0.3483.
Question
Suppose Z has a standard normal distribution with a mean of 0 and standard deviation of 1.The probability that Z values are larger than is 0.6985.
Question
You were told that the mean score on a statistics exam is 75 with the scores normally distributed.In addition, you know the probability of a score between 55 and 60 is 4.41% and that the probability of a score greater than 90 is 6.68%.The middle 86.64% of the students will score between which two scores?
Question
Suppose Z has a standard normal distribution with a mean of 0 and standard deviation of 1.The probability that Z is more than 0.77 is .
Question
The amount of time necessary for assembly line workers to complete a product is a normal variable with a mean of 15 minutes and a standard deviation of 2 minutes.The probability isthat a product is assembled in between 14 and 16 minutes.
Question
You were told that the mean score on a statistics exam is 75 with the scores normally distributed.In addition, you know the probability of a score between 55 and 60 is 4.41% and that the probability of a score greater than 90 is 6.68%.What is the probability of a score between 60 and95?
Question
The amount of time necessary for assembly line workers to complete a product is a normal variable with a mean of 15 minutes and a standard deviation of 2 minutes.The probability isthat a product is assembled in less than 12 minutes.
Question
Suppose Z has a standard normal distribution with a mean of 0 and standard deviation of 1.So,96% of the possible Z values are between and (symmetrically distributed about the mean).
Question
Suppose Z has a standard normal distribution with a mean of 0 and standard deviation of 1.The probability that Z is more than -0.98 is .
Question
Suppose Z has a standard normal distribution with a mean of 0 and standard deviation of 1.So,27% of the possible Z values are smaller than .
Question
Suppose Z has a standard normal distribution with a mean of 0 and standard deviation of 1.The probability that Z is between -2.89 and -1.03 is _.
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Deck 6: The Normal Distribution
1
The owner of a fish market determined that the mean weight for a catfish is 3.2 pounds with a standard deviation of 0.8 pound.Assuming the weights of catfish are normally distributed, the probability that a randomly selected catfish will weigh less than 2.2 pounds is ?
0.1056
2
The value of the cumulative standardized normal distribution at 1.5X is 0.9332.The value of X is

A)0.10
B)0.50
C)1.00
D)1.50
1.00
3
For some value of Z, the value of the cumulative standardized normal distribution is 0.2090.The value of Z is

A)- 0.81
B)- 0.31
C)0.31
D)1.96
- 0.81
4
In its standardized form, the normal distribution

A)has a mean of 0 and a standard deviation of 1.
B)has a mean of 1 and a variance of 0.
C)has an area equal to 0.5.
D)cannot be used to approximate discrete probability distributions.
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5
If a set of data is approximately normally distributed, we would find that approximately

A)2 of every 3 observations would fall between ±\pm 1 standard deviation around the mean.
B)4 of every 5 observations would fall between ±\pm 1.28 standard deviations around the mean.
C)19 of every 20 observations would fall between ±\pm 2 standard deviations around the mean.
D)All the above.
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6
The owner of a fish market determined that the mean weight for a catfish is 3.2 pounds with a standard deviation of 0.8 pound.Assuming the weights of catfish are normally distributed, the probability that a randomly selected catfish will weigh more than 4.4 pounds is ?
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7
If we know that the length of time it takes a college student to find a parking spot in the library parking lot follows a normal distribution with a mean of 3.5 minutes and a standard deviation of 1 minute, find the probability that a randomly selected college student will find a parking spot inthe library parking lot in less than 3 minutes.

A)0.3551
B)0.3085
C)0.2674
D)0.1915
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8
The value of the cumulative standardized normal distribution at Z is 0.8770.The value of Z is

A)0.18
B)0.81
C)1.16
D)1.47
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9
The owner of a fish market determined that the mean weight for a catfish is 3.2 pounds with a standard deviation of 0.8 pound.A citation catfish should be one of the top 2% in weight.Assuming the weights of catfish are normally distributed, at what weight (in pounds) should the citation designation be established?

A)1.56 pounds
B)4.84 pounds
C)5.20 pounds
D)7.36 pounds
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10
The owner of a fish market determined that the mean weight for a catfish is 3.2 pounds with a standard deviation of 0.8 pound.Assuming the weights of catfish are normally distributed, the probability that a randomly selected catfish will weigh between 3 and 5 pounds is ?
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11
For some value of Z, the value of the cumulative standardized normal distribution is 0.8340.The value of Z is

A)0.07
B)0.37
C)0.97
D)1.06
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12
Given that X is a normally distributed variable with a mean of 50 and a standard deviation of 2, find the probability that X is between 47 and 54.
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13
The owner of a fish market determined that the mean weight for a catfish is 3.2 pounds with a standard deviation of 0.8 pound.Assuming the weights of catfish are normally distributed, above what weight (in pounds) do 89.80% of the weights occur?
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14
If we know that the length of time it takes a college student to find a parking spot in the library parking lot follows a normal distribution with a mean of 3.5 minutes and a standard deviation of 1 minute, 75.8% of the college students will take more than how many minutes when trying to finda parking spot in the library parking lot?

A)2.8 minutes
B)3.2 minutes
C)3.4 minutes
D)4.2 minutes
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15
If we know that the length of time it takes a college student to find a parking spot in the library parking lot follows a normal distribution with a mean of 3.5 minutes and a standard deviation of 1 minute, find the probability that a randomly selected college student will take between 2 and 4.5 minutes to find a parking spot in the library parking lot.

A)0.0919
B)0.2255
C)0.4938
D)0.7745
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16
A company that sells annuities must base the annual payout on the probability distribution of the length of life of the participants in the plan.Suppose the probability distribution of the lifetimes of the participants is approximately a normal distribution with a mean of 68 years and a standarddeviation of 3.5 years.Find the age at which payments have ceased for approximately 86% of the plan participants.
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17
Which of the following about the normal distribution is not true?

A)Theoretically, the mean, median, and mode are the same.
B)About 2/3 of the observations fall within ±\pm 1 standard deviation from the mean.
C)It is a discrete probability distribution.
D)Its parameters are the mean, μ\mu , and standard deviation, σ\sigma .
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18
A company that sells annuities must base the annual payout on the probability distribution of the length of life of the participants in the plan.Suppose the probability distribution of the lifetimes of the participants is approximately a normal distribution with a mean of 68 years and a standarddeviation of 3.5 years.What proportion of the plan recipients would receive payments beyond age75?
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19
The value of the cumulative standardized normal distribution at Z is 0.6255.The value of Z is

A)0.99
B)0.40
C)0.32
D)0.16
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20
A company that sells annuities must base the annual payout on the probability distribution of the length of life of the participants in the plan.Suppose the probability distribution of the lifetimes of the participants is approximately a normal distribution with a mean of 68 years and a standard deviation of 3.5 years.What proportion of the plan recipients die before they reach the standard retirement age of 65?
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21
A food processor packages orange juice in small jars.The weights of the filled jars are approximately normally distributed with a mean of 10.5 ounces and a standard deviation of 0.3 ounce.Find the proportion of all jars packaged by this process that have weights that fall below10.875 ounces.
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22
The "middle spread," that is the middle 50% of the normal distribution, is equal to plus or minus one standard deviation.
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23
The amount of tea leaves in a can from a production line is normally distributed with The amount of tea leaves in a can from a production line is normally distributed with   grams and   grams.What is the probability that a randomly selected can will containbetween 100 and 120 grams of tea leaves? grams and The amount of tea leaves in a can from a production line is normally distributed with   grams and   grams.What is the probability that a randomly selected can will containbetween 100 and 120 grams of tea leaves? grams.What is the probability that a randomly selected can will containbetween 100 and 120 grams of tea leaves?
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24
The probability that a standard normal variable Z is positive is .
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25
If a data set is approximately normally distributed, its normal probability plot would be S-shaped.
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26
The probability that a standard normal variable, Z, falls between - 1.50 and 0.81 is0.7242.
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27
The amount of tea leaves in a can from a production line is normally distributed with The amount of tea leaves in a can from a production line is normally distributed with   grams and   grams.What is the probability that a randomly selected can will containbetween 100 and 110 grams of tea leaves? grams and The amount of tea leaves in a can from a production line is normally distributed with   grams and   grams.What is the probability that a randomly selected can will containbetween 100 and 110 grams of tea leaves? grams.What is the probability that a randomly selected can will containbetween 100 and 110 grams of tea leaves?
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28
The amount of tea leaves in a can from a production line is normally distributed with The amount of tea leaves in a can from a production line is normally distributed with   grams and   grams.What is the probability that a randomly selected can will contain atleast 100 grams of tea leaves? grams and The amount of tea leaves in a can from a production line is normally distributed with   grams and   grams.What is the probability that a randomly selected can will contain atleast 100 grams of tea leaves? grams.What is the probability that a randomly selected can will contain atleast 100 grams of tea leaves?
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29
Any set of normally distributed data can be transformed to its standardized form.
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30
A food processor packages orange juice in small jars.The weights of the filled jars are approximately normally distributed with a mean of 10.5 ounces and a standard deviation of 0.3 ounce.Find the proportion of all jars packaged by this process that have weights that fall above10.95 ounces.
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31
The amount of tea leaves in a can from a production line is normally distributed with The amount of tea leaves in a can from a production line is normally distributed with   grams and   grams.What is the probability that a randomly selected can will containbetween 82 and 100 grams of tea leaves? grams and The amount of tea leaves in a can from a production line is normally distributed with   grams and   grams.What is the probability that a randomly selected can will containbetween 82 and 100 grams of tea leaves? grams.What is the probability that a randomly selected can will containbetween 82 and 100 grams of tea leaves?
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32
The probability that a standard normal variable, Z, falls between -2.00 and -0.44 is 0.6472.
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33
The probability that a standard normal variable, Z, is between 1.00 and 3.00 is0.1574.
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34
The amount of tea leaves in a can from a production line is normally distributed with The amount of tea leaves in a can from a production line is normally distributed with   grams and   grams.What is the probability that a randomly selected can will contain lessthan 100 grams of tea leaves? grams and The amount of tea leaves in a can from a production line is normally distributed with   grams and   grams.What is the probability that a randomly selected can will contain lessthan 100 grams of tea leaves? grams.What is the probability that a randomly selected can will contain lessthan 100 grams of tea leaves?
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35
The probability that a standard normal variable, Z, is between 1.50 and 2.10 is the same as the probability Z is between - 2.10 and - 1.50.
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36
A normal probability plot may be used to assess the assumption of normality for a set of data.
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37
Theoretically, the mean, median, and the mode are all equal for a normal distribution.
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38
The probability that a standard normal variable, Z, is below 1.96 is 0.4750.
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39
A worker earns $15 per hour at a plant in China and is told that only 2.5% of all workers make a higher wage.If the wage is assumed to be normally distributed and the standard deviation of wage rates is $5 per hour, the mean wage for the plant is $7.50 per hour.
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40
The probability that a standard normal variable, Z, is less than 5.0 is approximately 0.
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41
You were told that the mean score on a statistics exam is 75 with the scores normally distributed.In addition, you know the probability of a score between 55 and 60 is 4.41% and that the probability of a score greater than 90 is 6.68%.What is the probability of a score greater than95?
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42
The amount of tea leaves in a can from a production line is normally distributed with The amount of tea leaves in a can from a production line is normally distributed with   grams and   grams.Approximately 83% of the can will have at least how many grams oftea leaves? grams and The amount of tea leaves in a can from a production line is normally distributed with   grams and   grams.Approximately 83% of the can will have at least how many grams oftea leaves? grams.Approximately 83% of the can will have at least how many grams oftea leaves?
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43
You were told that the amount of time elapsed between consecutive trades on a foreign stock exchange market followed a normal distribution with a mean of 15 seconds.You were also told that the probability that the time elapsed between two consecutive trades to fall between 16 to 17 seconds was 13%.The probability that the time elapsed between two consecutive trades would fall below 13 seconds was 7%.What is the probability that the time elapsed between two consecutive trades will be longer than 17 seconds?
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44
You were told that the amount of time elapsed between consecutive trades on a foreign stock exchange market followed a normal distribution with a mean of 15 seconds.You were also told that the probability that the time elapsed between two consecutive trades to fall between 16 to 17 seconds was 13%.The probability that the time elapsed between two consecutive trades would fall below 13 seconds was 7%.The probability is 80% that the time elapsed will be longer than how many seconds?
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45
You were told that the amount of time elapsed between consecutive trades on a foreign stock exchange market followed a normal distribution with a mean of 15 seconds.You were also told that the probability that the time elapsed between two consecutive trades to fall between 16 to 17 seconds was 13%.The probability that the time elapsed between two consecutive trades would fall below 13 seconds was 7%.The middle 86% of the time elapsed will fall between which two numbers?
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46
You were told that the amount of time elapsed between consecutive trades on a foreign stock exchange market followed a normal distribution with a mean of 15 seconds.You were also told that the probability that the time elapsed between two consecutive trades to fall between 16 to 17 seconds was 13%.The probability that the time elapsed between two consecutive trades would fall below 13 seconds was 7%.What is the probability that the time elapsed between two consecutive trades will be between 14 and 17 seconds?
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47
The true length of boards cut at a mill with a listed length of 10 feet is normally distributed with a mean of 123 inches and a standard deviation of 1 inch.What proportion of the boards will be between 121 and 124 inches?
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48
You were told that the amount of time elapsed between consecutive trades on a foreign stock exchange market followed a normal distribution with a mean of 15 seconds.You were also told that the probability that the time elapsed between two consecutive trades to fall between 16 to 17 seconds was 13%.The probability that the time elapsed between two consecutive trades would fall below 13 seconds was 7%.What is the probability that the time elapsed between two consecutive trades will be between 13 and 14 seconds?
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49
You were told that the mean score on a statistics exam is 75 with the scores normally distributed.In addition, you know the probability of a score between 55 and 60 is 4.41% and that the probability of a score greater than 90 is 6.68%.What is the probability of a score between 60 and75?
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50
The true length of boards cut at a mill with a listed length of 10 feet is normally distributed with a mean of 123 inches and a standard deviation of 1 inch.What proportion of the boards will be over125 inches in length?
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51
You were told that the mean score on a statistics exam is 75 with the scores normally distributed.In addition, you know the probability of a score between 55 and 60 is 4.41% and that the probability of a score greater than 90 is 6.68%.What is the probability of a score between 75 and90?
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52
You were told that the amount of time elapsed between consecutive trades on a foreign stock exchange market followed a normal distribution with a mean of 15 seconds.You were also told that the probability that the time elapsed between two consecutive trades to fall between 16 to 17 seconds was 13%.The probability that the time elapsed between two consecutive trades would fall below 13 seconds was 7%.What is the probability that the time elapsed between two consecutive trades will be between 15 and 16 seconds?
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53
You were told that the mean score on a statistics exam is 75 with the scores normally distributed.In addition, you know the probability of a score between 55 and 60 is 4.41% and that the probability of a score greater than 90 is 6.68%.What is the probability of a score between 90 and95?
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54
You were told that the amount of time elapsed between consecutive trades on a foreign stock exchange market followed a normal distribution with a mean of 15 seconds.You were also told that the probability that the time elapsed between two consecutive trades to fall between 16 to 17 seconds was 13%.The probability that the time elapsed between two consecutive trades would fall below 13 seconds was 7%.What is the probability that the time elapsed between two consecutive trades will be between 13 and 16 seconds?
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55
The true length of boards cut at a mill with a listed length of 10 feet is normally distributed with a mean of 123 inches and a standard deviation of 1 inch.What proportion of the boards will be less than 124 inches?
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56
The amount of tea leaves in a can from a production line is normally distributed with The amount of tea leaves in a can from a production line is normally distributed with   grams and   grams.What is the probability that a randomly selected can will contain lessthan 100 grams or more than 120 grams of tea leaves? grams and The amount of tea leaves in a can from a production line is normally distributed with   grams and   grams.What is the probability that a randomly selected can will contain lessthan 100 grams or more than 120 grams of tea leaves? grams.What is the probability that a randomly selected can will contain lessthan 100 grams or more than 120 grams of tea leaves?
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57
You were told that the mean score on a statistics exam is 75 with the scores normally distributed.In addition, you know the probability of a score between 55 and 60 is 4.41% and that the probability of a score greater than 90 is 6.68%.What is the probability of a score lower than 55?
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58
You were told that the amount of time elapsed between consecutive trades on a foreign stock exchange market followed a normal distribution with a mean of 15 seconds.You were also told that the probability that the time elapsed between two consecutive trades to fall between 16 to 17 seconds was 13%.The probability that the time elapsed between two consecutive trades would fall below 13 seconds was 7%.The middle 60% of the time elapsed will fall between which two numbers?
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59
You were told that the amount of time elapsed between consecutive trades on a foreign stock exchange market followed a normal distribution with a mean of 15 seconds.You were also told that the probability that the time elapsed between two consecutive trades to fall between 16 to 17 seconds was 13%.The probability that the time elapsed between two consecutive trades would fall below 13 seconds was 7%.The probability is 20% that the time elapsed will be shorter how many seconds?
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60
You were told that the amount of time elapsed between consecutive trades on a foreign stock exchange market followed a normal distribution with a mean of 15 seconds.You were also told that the probability that the time elapsed between two consecutive trades to fall between 16 to 17 seconds was 13%.The probability that the time elapsed between two consecutive trades would fall below 13 seconds was 7%.What is the probability that the time elapsed between two consecutive trades will be between 14 and 15 seconds?
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61
Suppose Z has a standard normal distribution with a mean of 0 and standard deviation of 1.So,50% of the possible Z values are between and (symmetrically distributed about the mean).
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62
Suppose Z has a standard normal distribution with a mean of 0 and standard deviation of 1.So,85% of the possible Z values are smaller than .
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63
You were told that the mean score on a statistics exam is 75 with the scores normally distributed.In addition, you know the probability of a score between 55 and 60 is 4.41% and that the probability of a score greater than 90 is 6.68%.What is the probability of a score between 55 and90?
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64
Suppose Z has a standard normal distribution with a mean of 0 and standard deviation of 1.The probability that Z is less than 1.15 is .
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65
Suppose Z has a standard normal distribution with a mean of 0 and standard deviation of 1.The probability that Z is between -0.88 and 2.29 is .
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66
Suppose Z has a standard normal distribution with a mean of 0 and standard deviation of 1.The probability that Z is less than -2.20 is .
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67
You were told that the mean score on a statistics exam is 75 with the scores normally distributed.In addition, you know the probability of a score between 55 and 60 is 4.41% and that the probability of a score greater than 90 is 6.68%.What is the probability of a score between 55 and95?
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68
You were told that the mean score on a statistics exam is 75 with the scores normally distributed.In addition, you know the probability of a score between 55 and 60 is 4.41% and that the probability of a score greater than 90 is 6.68%.The middle 95.46% of the students will score between which two scores?
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69
Suppose Z has a standard normal distribution with a mean of 0 and standard deviation of 1.The probability that Z is between -2.33 and 2.33 is .
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70
Suppose Z has a standard normal distribution with a mean of 0 and standard deviation of 1.The probability that Z values are larger than is 0.3483.
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71
Suppose Z has a standard normal distribution with a mean of 0 and standard deviation of 1.The probability that Z values are larger than is 0.6985.
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72
You were told that the mean score on a statistics exam is 75 with the scores normally distributed.In addition, you know the probability of a score between 55 and 60 is 4.41% and that the probability of a score greater than 90 is 6.68%.The middle 86.64% of the students will score between which two scores?
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73
Suppose Z has a standard normal distribution with a mean of 0 and standard deviation of 1.The probability that Z is more than 0.77 is .
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74
The amount of time necessary for assembly line workers to complete a product is a normal variable with a mean of 15 minutes and a standard deviation of 2 minutes.The probability isthat a product is assembled in between 14 and 16 minutes.
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75
You were told that the mean score on a statistics exam is 75 with the scores normally distributed.In addition, you know the probability of a score between 55 and 60 is 4.41% and that the probability of a score greater than 90 is 6.68%.What is the probability of a score between 60 and95?
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76
The amount of time necessary for assembly line workers to complete a product is a normal variable with a mean of 15 minutes and a standard deviation of 2 minutes.The probability isthat a product is assembled in less than 12 minutes.
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77
Suppose Z has a standard normal distribution with a mean of 0 and standard deviation of 1.So,96% of the possible Z values are between and (symmetrically distributed about the mean).
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78
Suppose Z has a standard normal distribution with a mean of 0 and standard deviation of 1.The probability that Z is more than -0.98 is .
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79
Suppose Z has a standard normal distribution with a mean of 0 and standard deviation of 1.So,27% of the possible Z values are smaller than .
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80
Suppose Z has a standard normal distribution with a mean of 0 and standard deviation of 1.The probability that Z is between -2.89 and -1.03 is _.
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