Question 1

You were told that the amount of time lapsed between consecutive trades on the New York Stock Exchange followed a normal distribution with a mean of 15 seconds. You were also told that the probability that the time lapsed between two consecutive trades to fall between 16 to 17 seconds was 13%. The probability that the time lapsed between two consecutive trades would fall below 13 seconds was 7%. The probability is 20% that the time lapsed will be shorter how many seconds?

Accepted Answer

The answer of You were told that the amount of...

Question 2

TABLE 6-2
John has two jobs. For daytime work at a jewelry store he is paid $15,000 per month, plus a commission. His monthly commission is normally distributed with mean $10,000 and standard deviation $2,000. At night he works as a waiter, for which his monthly income is normally distributed with mean $1,000 and standard deviation $300. John's income levels from these two sources are independent of each other.
-Referring to Table 6-2, for a given month, what is the probability that John's income as a waiter is more than $900?

Accepted Answer

The answer of TABLE 6-2
John has two jobs. For daytime...

Question 3

In the game Wheel of Fortune, which of the following distributions can best be used to compute the probability of winning the special vacation package in a single spin?

Accepted Answer

A)  uniform distribution 
B)  binomial distribution 
C)  normal distribution 
D)  exponential distribution

Question 4

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 ________.

Accepted Answer

The answer of Suppose Z has a standard normal distribution...

Question 5

TABLE 6-4
The interval between consecutive hits at a web site is assumed to follow an exponential distribution with an average of 40 hits per minute.
-Referring to Table 6-4, what is the probability that the next hit at the web site will occur between the next 1.2 and 1.5 seconds after just being hit by a visitor?

Accepted Answer

The answer of TABLE 6-4
The interval between consecutive hits at...

Question 6

The probability that a standard normal random variable, Z, falls between -1.50 and 0.81 is 0.7242.

Accepted Answer

A) True 
 B)False

Question 7

TABLE 6-3
Suppose the time interval between two consecutive defective light bulbs from a production line has a uniform distribution over an interval from 0 to 90 minutes.
-Referring to Table 6-3, the probability is 50% that the time interval between two consecutive defective light bulbs will fall between which two values that are the same distance from the mean?

Accepted Answer

The answer of TABLE 6-3
Suppose the time interval between two...

Question 8

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 than 95?

Accepted Answer

The answer of You were told that the mean score...

Question 9

TABLE 6-2
John has two jobs. For daytime work at a jewelry store he is paid $15,000 per month, plus a commission. His monthly commission is normally distributed with mean $10,000 and standard deviation $2,000. At night he works as a waiter, for which his monthly income is normally distributed with mean $1,000 and standard deviation $300. John's income levels from these two sources are independent of each other.
-Referring to Table 6-2, for a given month, what is the probability that John's income as a waiter is between $1,200 and $1,600?

Accepted Answer

The answer of TABLE 6-2
John has two jobs. For daytime...

Question 10

Patients arriving at an outpatient clinic follow an exponential distribution at a rate of 1.5 patients per hour. What is the probability that a randomly chosen arrival to be between 10 and 15 minutes?

Accepted Answer

The answer of Patients arriving at an outpatient clinic follow...

Question 11

The owner of a fish market determined that the average 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?

Accepted Answer

The answer of The owner of a fish market determined...

Question 12

TABLE 6-2
John has two jobs. For daytime work at a jewelry store he is paid $15,000 per month, plus a commission. His monthly commission is normally distributed with mean $10,000 and standard deviation $2,000. At night he works as a waiter, for which his monthly income is normally distributed with mean $1,000 and standard deviation $300. John's income levels from these two sources are independent of each other.
-Referring to Table 6-2, the probability is 0.9 that John's income as a waiter is less than how much in a given month?

Accepted Answer

The answer of TABLE 6-2
John has two jobs. For daytime...

Question 13

Times spent watching TV every week by first graders follow an exponential distribution with mean 10 hours. The probability that a given first grader spends more than 5 hours watching TV is ________.

Accepted Answer

The answer of Times spent watching TV every week by...

Question 14

Patients arriving at an outpatient clinic follow an exponential distribution at a rate of 1.5 patients per hour. What is the probability that a randomly chosen arrival to be less than 10 minutes?

Accepted Answer

The answer of Patients arriving at an outpatient clinic follow...

Question 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.

Accepted Answer

A)  0.0919 
B)  0.2255 
C)  0.4938 
D)  0.7745

Question 16

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 and 90?

Accepted Answer

The answer of You were told that the mean score...

Question 17

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 and 95?

Accepted Answer

The answer of You were told that the mean score...

Question 18

For some positive value of Z, the probability that a standard normal variable is between 0 and Z is 0.3340. The value of Z is:

Accepted Answer

A)  0.07 
B)  0.37 
C)  0.97 
D)  1.06

Question 19

The amount of time necessary for assembly line workers to complete a product is a normal random variable with a mean of 15 minutes and a standard deviation of 2 minutes. The probability is ________ that a product is assembled in between 14 and 16 minutes.

Accepted Answer

The answer of The amount of time necessary for assembly...

Question 20

The amount of tea leaves in a can from a particular production line is normally distributed withμ = 110 grams and σ = 25 grams. What is the probability that a randomly selected can will contain between 82 and 100 grams of tea leaves?

Accepted Answer

The answer of The amount of tea leaves in a...

Exam 6: The Normal Distribution and Other Continuous Distributions

In the game Wheel of Fortune, which of the following distributions can best be used to compute the probability of winning the special vacation package in a single spin?

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 ________.

The probability that a standard normal random variable, Z, falls between -1.50 and 0.81 is 0.7242.

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 than 95?

Patients arriving at an outpatient clinic follow an exponential distribution at a rate of 1.5 patients per hour. What is the probability that a randomly chosen arrival to be between 10 and 15 minutes?

The owner of a fish market determined that the average 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?

Times spent watching TV every week by first graders follow an exponential distribution with mean 10 hours. The probability that a given first grader spends more than 5 hours watching TV is ________.

Patients arriving at an outpatient clinic follow an exponential distribution at a rate of 1.5 patients per hour. What is the probability that a randomly chosen arrival to be less than 10 minutes?

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 and 90?

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 and 95?

For some positive value of Z, the probability that a standard normal variable is between 0 and Z is 0.3340. The value of Z is:

The amount of time necessary for assembly line workers to complete a product is a normal random variable with a mean of 15 minutes and a standard deviation of 2 minutes. The probability is ________ that a product is assembled in between 14 and 16 minutes.

The amount of tea leaves in a can from a particular production line is normally distributed with μ = 110 grams and σ = 25 grams. What is the probability that a randomly selected can will contain between 82 and 100 grams of tea leaves?

The amount of tea leaves in a can from a particular production line is normally distributed withμ = 110 grams and σ = 25 grams. What is the probability that a randomly selected can will contain between 82 and 100 grams of tea leaves?