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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Random samples of size 525 are taken from an infinite population whose population proportion is 0.3. The standard deviation of the sample proportions (i.e., the standard error of the proportion) is
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Since the sample size is always smaller than the size of the population, the sample mean
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Exhibit 7-2
A random sample of 10 examination papers in a course, which was given on a pass or fail basis, showed the following scores.
-Refer to Exhibit 7-2. The point estimate for the variance of the population is

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There are 500 employees in a firm, 45% are female. A sample of 60 employees is selected randomly.
a.Determine the standard error of the proportion.
b.What is the probability that the sample proportion (proportion of females) is between 0.40 and 0.55?
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A simple random sample from an infinite population is a sample selected such that
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A simple random sample of 64 observations was taken from a large population. The sample mean and the standard deviation were determined to be 320 and 120 respectively. The standard error of the mean is
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A population of 1,000 students spends an average of $10.50 a day on dinner. The standard deviation of the expenditure is $3. A simple random sample of 64 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 these 64 students will spend a combined total of more than $715.21?
c.What is the probability that these 64 students will spend a combined total between $703.59 and $728.45?
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A probability distribution for all possible values of a sample statistic is known as
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A single numerical value used as an estimate of a population parameter is known as
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A simple random sample of 6 computer programmers in Houston, Texas revealed the sex of the programmers and the following information about their weekly incomes.
a.What is the point estimate for the average weekly income of all the computer programmers in Houston?
b.What is the point estimate for the standard deviation of the population?
c.Determine a point estimate for the proportion of all programmers in Houston who are female.

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A population has a mean of 180 and a standard deviation of 24. A sample of 64 observations will be taken. The probability that the sample mean will be between 183 and 186 is
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The probability distribution of the sample mean is called the
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The life expectancy in the United States is 75 with a standard deviation of 7 years. A random sample of 49 individuals is selected.
a.What is the probability that the sample mean will be larger than 77 years?
b.What is the probability that the sample mean will be less than 72.7 years?
c.What is the probability that the sample mean will be between 73.5 and 76 years?
d.What is the probability that the sample mean will be between 72 and 74 years?
e.What is the probability that the sample mean will be larger than 73.46 years?
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A population consists of 8 items. The number of different simple random samples of size 3 that can be selected from this population is
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For a population with any distribution, the form of the sampling distribution of the sample mean is
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