Exam 7: Sampling and Sampling Distributions
Exam 1: Data and Statistics98 Questions
Exam 2: Descriptive Statistics: Tabular and Graphical Displays62 Questions
Exam 3: Descriptive Statistics: Numerical Measures173 Questions
Exam 4: Introduction to Probability138 Questions
Exam 5: Discrete Probability Distributions123 Questions
Exam 6: Continuous Probability Distributions174 Questions
Exam 7: Sampling and Sampling Distributions133 Questions
Exam 8: Interval Estimation137 Questions
Exam 9: Hypothesis Tests148 Questions
Exam 10: Inference About Means and Proportions With Two Populations121 Questions
Exam 11: Inferences About Population Variances90 Questions
Exam 12: Comparing Multiple Proportions, Test of Independence and Goodness of Fit90 Questions
Exam 13: Experimental Design and Analysis of Variance115 Questions
Exam 14: Simple Linear Regression146 Questions
Exam 15: Multiple Regression115 Questions
Exam 16: Regression Analysis: Model Building76 Questions
Exam 17: Time Series Analysis and Forecasting68 Questions
Exam 18: Nonparametric Methods81 Questions
Exam 19: Statistical Methods for Quality Control29 Questions
Exam 20: Index Numbers52 Questions
Exam 21: Decision Analysis on Website65 Questions
Exam 22: Sample Survey on Website63 Questions
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The following data was collected from a simple random sample of a population. 13 15 14 16 12
The point estimate of the population standard deviation is
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A population has a mean of 53 and a standard deviation of 21. A sample of 49 observations will be taken. The probability that the sample mean will be greater than 57.95 is
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How many simple random samples of size 5 can be selected from a population of size 8?
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A population has a standard deviation of 16. If a sample of size 64 is selected from this population, what is the probability that the sample mean will be within ±2 of the population mean?
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Students of a large university spend an average of $5 a day on lunch. The standard deviation of the expenditure is $3. A simple random sample of 36 students is taken.
a.What are the expected value, standard deviation, and shape of the sampling distribution of the sample mean?
b.What is the probability that the sample mean will be at least $4?
c.What is the probability that the sample mean will be at least $5.90?
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Which of the following sampling methods does not lead to probability samples?
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A new soft drink is being market tested. It is estimated that 60% of consumers will like the new drink. A sample of 96 taste tested the new drink.
a.Determine the standard error of the proportion
b.What is the probability that more than 70.4% of consumers will indicate they like the drink?
c.What is the probability that more than 30% of consumers will indicate they do not like the drink?
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The milk prices (in quarts) from a sample of 9 convenience stores in Chattanooga, Tennessee are shown below.
a.What is the point estimate for the prices of all convenience stores in Chattanooga?
b.What is the point estimate for the standard deviation of the population?

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The SAT scores have an average of 1200 with a standard deviation of 60. A sample of 36 scores is selected.
a.What is the probability that the sample mean will be larger than 1224?
b.What is the probability that the sample mean will be less than 1230?
c.What is the probability that the sample mean will be between 1200 and 1214?
d.What is the probability that the sample mean will be greater than 1200?
e.What is the probability that the sample mean will be larger than 73.46?
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A sample of 51 observations will be taken from an infinite population. The population proportion equals 0.85. The probability that the sample proportion will be between 0.9115 and 0.946 is
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The probability distribution of all possible values of the sample proportion
is the

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A simple random sample of size n from an infinite population of size N is to be selected. Each possible sample should have
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As the sample size increases, the variability among the sample means
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Random samples of size 49 are taken from a population that has 200 elements, a mean of 180, and a variance of 196. The distribution of the population is unknown. The mean and the standard error of the mean are
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Exhibit 7-3
In a local university, 40% of the students live in the dormitories. A random sample of 80 students is selected for a particular study.
-Refer to Exhibit 7-3. The standard deviation of
, known as the standard error of the proportion is approximately

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An automotive repair shop has determined that the average service time on an automobile is 2 hours with a standard deviation of 32 minutes. A random sample of 64 services is selected.
a.What is the probability that the sample of 64 will have a mean service time greater than 114 minutes?
b.Assume the population consists of 400 services. Determine the standard error of the mean.
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In a large university, 20% of the students are business majors. A random sample of 100 students is selected, and their majors are recorded.
a.Compute the standard error of the proportion.
b.What is the probability that the sample contains at least 12 business majors?
c.What is the probability that the sample contains less than 15 business majors?
d.What is the probability that the sample contains between 12 and 14 business majors?
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A population has a mean of 75 and a standard deviation of 8. A random sample of 800 is selected. The expected value of
is

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A population of size 1,000 has a proportion of 0.5. Therefore, the proportion and the standard deviation of the sample proportion for samples of size 100 are
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