Exam 7: Sampling Distributions
Exam 1: Defining and Collecting Data200 Questions
Exam 2: Organizing and Visualizing189 Questions
Exam 3: Numerical Descriptive Measures80 Questions
Exam 4: Basic Probability108 Questions
Exam 5: Discrete Probability Distributions81 Questions
Exam 6: Conthe Tinuonormausl Disdis Tributionstribution and Other38 Questions
Exam 7: Sampling Distributions62 Questions
Exam 8: Confidence Interval Estimation139 Questions
Exam 9: Fundamentals of Hypothesis Testing: One-Sample Tests133 Questions
Exam 10: Two-Sample Tests95 Questions
Exam 11: Analysis of Variance73 Questions
Exam 12: Chi-Square and Nonparametric100 Questions
Exam 13: Simple Linear Regression89 Questions
Exam 14: Introduction to Multiple113 Questions
Exam 15: Multiple Regression62 Questions
Exam 16: Time-Series Forecasting61 Questions
Exam 17: Business Analytics102 Questions
Exam 18: A Roadmap for Analyzing Data133 Questions
Exam 19: Statistical Applications in Quality Management86 Questions
Exam 20: Decision Making121 Questions
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True or False: The sample proportion is an unbiased estimate of the population proportion.
(True/False)
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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 64 cars is selected, there is approximately a 95.44% chance that the sample mean will
be between 14 and 16 gallons.
(True/False)
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The standard error of the population proportion will become larger
(Multiple Choice)
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The distribution of the number of loaves of bread sold per week by a large bakery over the past 5
years has a mean of 7,750 and a standard deviation of 145 loaves.Suppose a random sample of n
= 40 weeks has been selected.What is the approximate probability that the mean number of
loaves sold in the sampled weeks exceeds 7,895 loaves?
(Essay)
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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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Major league baseball salaries averaged $3.26 million with a standard deviation of $1.2 million in
A certain year in the past.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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Major league baseball salaries averaged $3.26 million with a standard deviation of $1.2 million in
A certain year in the past.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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Which of the following is true about the sampling distribution of the sample mean?
(Multiple Choice)
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Major league baseball salaries averaged $3.26 million with a standard deviation of $1.2 million in
A certain year in the past.Suppose a sample of 100 major league players was taken.Find the
Approximate probability that the mean salary of the 100 players exceeded $4.0 million.
(Multiple Choice)
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Sales prices of baseball cards from the 1960s are known to possess a right skewed distribution
With a mean sale price of $5.25 and a standard deviation of $2.80.Suppose a random sample of
100 cards from the 1960s is selected.Describe the sampling distribution for the sample mean sale
Price of the selected cards.
(Multiple Choice)
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True or False: The sample mean is an unbiased estimator for the population mean.
(True/False)
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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 has a standard error of 0.15.
(True/False)
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True or False: An unbiased estimator will have a value, on average across samples, equal to the
population parameter value.
(True/False)
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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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For sample size 16, the sampling distribution of the mean will be approximately normally
Distributed
(Multiple Choice)
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Which of the following is true regarding the sampling distribution of the mean for a large sample
Size?
(Multiple Choice)
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True or False: A sample of size 25 provides a sample variance of 400.The standard error, in
this case equal to 4, is best described as the estimate of the standard deviation of means calculated
from samples of size 25.
(True/False)
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