Exam 6: The Normal Distribution and Other Continuous Distributions
Exam 1: Defining and Collecting Data189 Questions
Exam 3: Numerical Descriptive Measures184 Questions
Exam 4: Basic Probability156 Questions
Exam 5: Discrete Probability Distributions218 Questions
Exam 6: The Normal Distribution and Other Continuous Distributions189 Questions
Exam 7: Sampling Distributions127 Questions
Exam 8: Confidence Interval Estimation196 Questions
Exam 9: Fundamentals of Hypothesis Testing: One-Sample Tests170 Questions
Exam 10: Two-Sample Tests210 Questions
Exam 11: Analysis of Variance130 Questions
Exam 12: Chi-Square Tests and Nonparametric Tests175 Questions
Exam 13: Simple Linear Regression213 Questions
Exam 14: Introduction to Multiple Regression337 Questions
Exam 15: Multiple Regression Model Building96 Questions
Exam 16: Time-Series Forecasting165 Questions
Exam 17: A Roadmap for Analyzing Data303 Questions
Exam 18: Statistical Applications in Quality Management130 Questions
Exam 19: Decision Making126 Questions
Exam 20: Index Numbers44 Questions
Exam 21: Chi-Square Tests for the Variance or Standard Deviation11 Questions
Exam 22: Mcnemar Test for the Difference Between Two Proportions Related Samples15 Questions
Exam 25: The Analysis of Means Anom2 Questions
Exam 23: The Analysis of Proportions Anop3 Questions
Exam 24: The Randomized Block Design85 Questions
Exam 26: The Power of a Test41 Questions
Exam 27: Estimation and Sample Size Determination for Finite Populations13 Questions
Exam 28: Application of Confidence Interval Estimation in Auditing13 Questions
Exam 29: Sampling From Finite Populations20 Questions
Exam 30: The Normal Approximation to the Binomial Distribution27 Questions
Exam 31: Counting Rules14 Questions
Exam 32: Lets Get Started Big Things to Learn First33 Questions
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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,what is the probability that the time interval between two consecutive defective light bulbs will be between 10 and 35 minutes?
(Short Answer)
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True or False: 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.
(True/False)
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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 a mean of $10,000 and a standard deviation of $2,000.At night he works occasionally as a waiter,for which his monthly income is normally distributed with a mean of $1,000 and a standard deviation of $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 commission from the jewelry store is between $5,000 and $7,000?
(Short Answer)
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TABLE 6-5
A company producing orange juice buys all of its oranges from a large orange orchard.The amount of juice that can be squeezed from each of these oranges is approximately normally distributed with a mean of 4.7 ounces and some unknown standard deviation.The company's production manager knows that the probability is 30.85% that a randomly selected orange will contain less than 4.5 ounces of juice.Also,the probability is 10.56% that a randomly selected orange will contain more than 5.2 ounces of juice.Answer the following questions without the help of a calculator,statistical software or statistical table.
-Referring to Table 6-5,what is the probability that a randomly selected orange will contain between 4.5 and 5.2 ounces of juice?
(Short Answer)
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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 a mean of $10,000 and a standard deviation of $2,000.At night he works occasionally as a waiter,for which his monthly income is normally distributed with a mean of $1,000 and a standard deviation of $300.John's income levels from these two sources are independent of each other.
-Referring to Table 6-2,John's income as a waiter will be between what two values symmetrically distributed around the population mean 90% of the time?
(Short Answer)
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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 find a parking spot in the library parking lot?
(Multiple Choice)
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The amount of juice that can be squeezed from a randomly selected orange out of a box of oranges with approximately the same size can most likely be modeled by which of the following distributions?
(Multiple Choice)
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Let X represent the amount of time until the next student will arrive in the library parking lot at the university.If we know that the distribution of arrival time can be modeled using an exponential distribution with a mean of 4 minutes (i.e.the mean number of arrivals is
per minute),find the probability that it will take more than 10 minutes for the next student to arrive at the library parking lot.

(Multiple Choice)
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TABLE 6-6
According to Investment Digest,the arithmetic mean of the annual return for common stocks over an 85-year period was 9.5%,but the value of the variance was not mentioned.Also 25% of the annual returns were below 8%,while 65% of the annual returns were between 8% and 11.5%.The article claimed that the distribution of annual return for common stocks was bell-shaped and approximately symmetric.Assume that this distribution is normal with the mean given above.Answer the following questions without the help of a calculator,statistical software or statistical table.
-Referring to Table 6-6,find the probability that the annual return of a random year will be more than 7.5%.
(Short Answer)
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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%.What is the probability that the time lapsed between two consecutive trades will be between 15 and 16 seconds?
(Short Answer)
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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?
(Short Answer)
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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.
(Short Answer)
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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%.What is the probability that the time lapsed between two consecutive trades will be longer than 17 seconds?
(Short Answer)
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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 a mean of $10,000 and a standard deviation of $2,000.At night he works occasionally as a waiter,for which his monthly income is normally distributed with a mean of $1,000 and a standard deviation of $300.John's income levels from these two sources are independent of each other.
-Referring to Table 6-2,the probability is 0.10 that John's commission from the jewelry store is more than how much in a given month?
(Short Answer)
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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 is ________ that a product is assembled in more than 19 minutes.
(Short Answer)
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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 is ________ that a product is assembled in less than 20 minutes.
(Short Answer)
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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 a mean of $10,000 and a standard deviation of $2,000.At night he works occasionally as a waiter,for which his monthly income is normally distributed with a mean of $1,000 and a standard deviation of $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?
(Short Answer)
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A catalog company that receives the majority of its orders by telephone conducted a study to determine how long customers were willing to wait on hold before ordering a product.The length of waiting time was found to be a variable best approximated by an exponential distribution with a mean length of waiting time equal to 2.8 minutes (i.e.the mean number of calls answered in a minute is
).What is the probability that a randomly selected caller is placed on hold fewer than 7 minutes?

(Multiple Choice)
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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,the probability that a randomly selected catfish will weigh less than 2.2 pounds is ________.
(Short Answer)
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