Exam 7: Sampling 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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A manufacturer of power tools claims that the mean amount of time required to assemble their top-of-the-line table saw is 80 minutes with a standard deviation of 40 minutes.Suppose a random sample of 64 purchasers of this table saw is taken.So,the middle 95% of the sample means based on sample sizes of 64 will be between ________ and ________.
Free
(Short Answer)
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Correct Answer:
70.2 and 89.8 minutes
True or False: The sample proportion is an unbiased estimate of the population proportion.
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(True/False)
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Correct Answer:
True
To use the normal distribution to approximate the binomial distribution,we need ________ and ________ to be at least 5.
(Short Answer)
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The standard error of the population proportion will become larger
(Multiple Choice)
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True or False: If the amount of gasoline purchased per car at a large service station has a population mean of 15 gallons and a population standard deviation of 4 gallons,and it is assumed that the amount of gasoline purchased per car is symmetric,there is approximately a 68.26% chance that a random sample of 16 cars will have a sample mean between 14 and 16 gallons.
(True/False)
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TABLE 7-4
According to a survey,only 15% of customers who visited the website of a major retail store made a purchase.Random sample sizes of 50 are selected.
-A study at a college in the west coast reveals that,historically,45% of the students are minority students.If random sample sizes of 75 are selected,the standard error of the proportion of students in the samples who are minority students is ________.
(Short Answer)
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True or False: The amount of bleach a machine pours into bottles has a mean of 36 oz.with a standard deviation of 0.15 oz.Suppose we take a random sample of 36 bottles filled by this machine.The sampling distribution of the sample mean will be approximately normal only if the population sampled is normal.
(True/False)
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True or False: A sampling distribution is a distribution for a statistic.
(True/False)
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Major league baseball salaries averaged $3.26 million with a standard deviation of $1.2 million in a recent year.Suppose a sample of 100 major league players was taken.Find the approximate probability that the mean salary of the 100 players exceeded $3.5 million.
(Multiple Choice)
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True or False: The amount of time it takes to complete an examination has a left skewed distribution with a mean of 65 minutes and a standard deviation of 8 minutes.If 64 students were randomly sampled,the probability that the sample mean of the sampled students exceeds 71 minutes is approximately 0.
(True/False)
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A manufacturer of power tools claims that the mean amount of time required to assemble their top-of-the-line table saw is 80 minutes with a standard deviation of 40 minutes.Suppose a random sample of 64 purchasers of this table saw is taken.The mean of the sampling distribution of the sample mean is ________ minutes.
(Short Answer)
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True or False: If the population distribution is skewed,in most cases the sampling distribution of the mean can be approximated by the normal distribution if the samples contain at least 30 observations.
(True/False)
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True or False: As the sample size increases,the standard error of the mean increases.
(True/False)
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True or False: The sample mean is an unbiased estimate of the population mean.
(True/False)
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Major league baseball salaries averaged $3.26 million with a standard deviation of $1.2 million in a recent year.Suppose a sample of 100 major league players was taken.Find the approximate probability that the mean salary of the 100 players was less than $2.5 million.
(Multiple Choice)
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True or False: If the amount of gasoline purchased per car at a large service station has a population mean of 15 gallons and a population standard deviation of 4 gallons,and a random sample of 4 cars is selected,there is approximately a 68.26% chance that the sample mean will be between 13 and 17 gallons.
(True/False)
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True or False: The Central Limit Theorem is considered powerful in statistics because it works for any population distribution provided the sample size is sufficiently large and the population mean and standard deviation are known.
(True/False)
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TABLE 7-1
The time spent studying by students in the week before final exams follows a normal distribution with a standard deviation of 8 hours.A random sample of 4 students was taken in order to estimate the mean study time for the population of all students.
-Referring to Table 7-1,what is the probability that the sample mean is more than 3 hours below the population mean?
(Short Answer)
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True or False: The standard error of the mean is also known as the standard deviation of the sampling distribution of the sample mean.
(True/False)
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