Exam 22: Sample Survey
Exam 1: Data and Statistics98 Questions
Exam 2: Descriptive Statistics: Tabular and Graphical Presentations64 Questions
Exam 3: Descriptive Statistics: Numerical Measures156 Questions
Exam 4: Introduction to Probability138 Questions
Exam 5: Discrete Probability Distributions122 Questions
Exam 6: Continuous Probability Distributions165 Questions
Exam 7: Sampling and Sampling Distributions131 Questions
Exam 8: Interval Estimation131 Questions
Exam 9: Hypothesis Tests133 Questions
Exam 10: Statistical Inference About Means and Proportions With Two Populations121 Questions
Exam 11: Inferences About Population Variances91 Questions
Exam 12: Tests of Goodness of Fit and Independence80 Questions
Exam 13: Analysis of Variance and Experimental Design113 Questions
Exam 14: Simple Linear Regression140 Questions
Exam 15: Multiple Regression106 Questions
Exam 16: Regression Analysis: Model Building75 Questions
Exam 17: Index Numbers52 Questions
Exam 18: Forecasting67 Questions
Exam 19: Nonparametric Methods81 Questions
Exam 20: Statistical Methods for Quality Control30 Questions
Exam 21: Decision Analysis65 Questions
Exam 22: Sample Survey63 Questions
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A sample of 4 clusters is to be taken from a population with N = 40 clusters and M = 600 clusters in the population.The values of Mi and ai are given below.
a.Determine the point estimator of the population proportion.
b.Determine an approximate 95% confidence interval estimate for the population proportion.
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Exhibit 22-4
Simple random sampling has been used to obtain a sample of size 50 from a population of size 500.The sample proportion was 0.7.
-Refer to Exhibit 22-4.The estimate of the standard error of proportion is
(Multiple Choice)
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A community has 2,000 registered voters.A pilot study revealed that 70% of the individuals are planning to vote for the incumbent mayor.We are interested in selecting a sample.So that the sampling error will not exceed 4%,what size sample should be taken?
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A sample of 5 clusters is to be taken from a population with N = 30 clusters and M = 300 elements in the population.The values of Mi and Xi for each cluster are shown below.
a.Determine the point estimate of the population mean.
b.Determine the standard error of the mean.
c.Develop a 95% confidence interval for the population mean.
d.Determine the point estimator of the population total.
e.Approximate a 95% confidence interval estimate of the population total.
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Exhibit 22-1
A simple random sample of size 64 is taken from a population of size 800.The sample mean is determined to be 2,550 with a standard deviation of 500.
-Refer to Exhibit 22-1.The point estimate of the population total is
(Multiple Choice)
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From a population consisting of 8,000 elements,a sample of size 121 is selected.The sample has a mean of 4,000 and a standard deviation of 600.
a.Estimate the standard error of the mean.
b.Develop an approximate 95% confidence interval for the population mean.
c.Estimate the population total.
d.Develop an approximate 95% confidence interval for the population total.
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A number added to and subtracted from a point estimate to create an approximate 95% confidence interval is known as
(Multiple Choice)
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Nancy Joon,Inc.has 1500 employees.A simple random sample of 81 employees was selected,and the individuals in the sample were asked how much they contribute (monthly)to their retirement accounts.The sample mean,
,was $150 with a standard deviation,s,of $45.
a.Estimate the standard error of the mean.
b.Develop an approximate 95% confidence interval for the population mean.
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Exhibit 22-3
From a population of size 600,a simple random sample of size 58 is selected.The sample mean is 400,and the sample standard deviation is 40.
-Refer to Exhibit 22-3.The population total is
(Multiple Choice)
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A company has 600 employees.A random sample of 49 employees took a computer literacy test.The sample resulted in a mean score of 75 with a standard deviation of 21.
a.Estimate the standard error of the mean.
b.Develop an approximate 95% confidence interval for the population mean of the 600 employees.
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From a population of 2000 accounts receivable,a simple random sample of 120 accounts is selected.Thirty-six of the accounts in the sample were overdue.
a.Estimate the standard error of the proportion of the overdue accounts.
b.Develop an approximate 95% confidence interval for the proportion of overdue accounts in the population.
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Which of the following is an example of nonprobabilistic sampling?
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Exhibit 22-2
A simple random sample of 43 elements has been selected from a population of size 800.The sample mean is 500,and the sample standard deviation is 60.
-Refer to Exhibit 22-2.An approximate 95% confidence interval for the population mean is
(Multiple Choice)
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Simple random sampling has been used to obtain a sample of 81 elements from a population of size 500.The sample mean is 120,and the sample standard deviation is determined to be 36.
a.Estimate the standard error of the mean.
b.Develop an approximate 95% confidence interval for the population mean.
c.Estimate the population total.
d.Develop an approximate 95% confidence interval for the population total.
(Essay)
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A simple random sample of size 36 is selected from a population of size 750.The sample mean is 318,and the sample standard deviation is found to be 30.
a.Estimate the standard error of the mean.
b.Develop an approximate 95% confidence interval for the population mean.
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