Exam 9: Sampling Distributions
Exam 1: What Is Statistics43 Questions
Exam 2: Graphical Descriptive Techniques I93 Questions
Exam 3: Graphical Descriptive Techniques II183 Questions
Exam 4: Numerical Descriptive Techniques274 Questions
Exam 5: Data Collection and Sampling82 Questions
Exam 6: Probability234 Questions
Exam 7: Random Variables and Discrete Probability Distributions274 Questions
Exam 8: Continuous Probability Distributions215 Questions
Exam 9: Sampling Distributions153 Questions
Exam 10: Introduction to Estimation152 Questions
Exam 11: Introduction to Hypothesis Testing182 Questions
Exam 12: Inference About a Population147 Questions
Exam 13: Inference About Comparing Two Populations170 Questions
Exam 14: Analysis of Variance153 Questions
Exam 15: Chi-Squared Tests175 Questions
Exam 16: Simple Linear Regression and Correlation298 Questions
Exam 17: Multiple Regression157 Questions
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In general, the binomial probability P(X x) is approximated by the area under the normal curve to the left of x + .5.
(True/False)
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Because the value of the ____________________ varies randomly from sample to sample, we can regard it as a new random variable created by sampling.
(Short Answer)
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Two random samples of sizes 30 and 36 are selected independently from two populations with means 80 and 88, and standard deviations 15 and 20, respectively.
a.
Find the standard error of the difference betweenand.
b.
Find the probability that the mean of the first sample is smaller than the mean of the second sample.
(Essay)
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Retirees
A sample of 50 retirees is drawn at random from a normal population whose mean age and standard deviation are 75 and 6 years, respectively.
-(Retirees Narrative} Find the mean and standard error of the sampling distribution of the sample mean.
(Short Answer)
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The owner of a meat market has an assistant who has determined that the weights of roasts are normally distributed, with a mean of 3.2 pounds and standard deviation of 0.8 pounds.If a sample of 25 roasts yields a mean of 3.6 pounds, what is the Z-score for this sample mean?
(Multiple Choice)
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Suppose that 100 items are drawn from a population of manufactured products and the weight, X, of each item is recorded.Prior experience has shown that the weight has a non-normal probability distribution with = 8 ounces and = 3 ounces.Which of the following is true about the sampling of
?

(Multiple Choice)
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Mean Salary
In order to estimate the mean salary for a population of 500 employees, the president of a certain company selected at random a sample of 40 employees.
-{Mean Salary Narrative} If the population standard deviation is $800, compute the standard error both with and without using the finite population correction factor.
(Essay)
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Temporary Worker Productivity
A temporary worker productivity is normally distributed.One worker produces an average of 84 units per day with a standard deviation of 24.Another worker produces at an average rate of 74 per day with a standard deviation of 25.
-{Temporary Worker Productivity Narrative} What is the probability that in any single day worker 1 will outproduce worker 2?
(Essay)
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Retirees
A sample of 50 retirees is drawn at random from a normal population whose mean age and standard deviation are 75 and 6 years, respectively.
-{Retirees Narrative} What is the probability that the mean age is at most 73 years?
(Short Answer)
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A sample of size n is selected at random from an infinite population.As n increases, the standard error of the sample mean increases.
(True/False)
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As n gets larger, the sampling distribution of
becomes increasingly bell shaped.This phenomenon is due to the ____________________.

(Short Answer)
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Suppose it is known that 60% of radio listeners at a particular college are smokers.A sample of 500 students from the college is selected at random.Approximate the probability that at least 280 of these students are radio listeners.
(Short Answer)
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A randomly selected value of
is likely to be ____________________ to(than) the mean of the population than is a randomly selected value of X.

(Short Answer)
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Which of the following is true about the sampling distribution of the sample mean?
(Multiple Choice)
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The expected value of the sampling distribution of
is
where i is the mean of population i (i = 1, 2).


(True/False)
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The standard error of the difference between sample means,
, is calculated by the formula
where
is the variance of population i (i = 1, 2).



(True/False)
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If the sample size increases, the standard error of the mean also increases.
(True/False)
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The standard error of the mean for a sample of 100 is 25.In order to cut the standard error of the mean in half (to 12.5) we must:
(Multiple Choice)
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