Exam 8: Sampling Distributions and Estimation
Exam 1: Overview of Statistics52 Questions
Exam 2: Data Collection111 Questions
Exam 3: Describing Data Visually108 Questions
Exam 4: Descriptive Statistics150 Questions
Exam 5: Probability123 Questions
Exam 6: Discrete Probability Distributions126 Questions
Exam 7: Continuous Probability Distributions120 Questions
Exam 8: Sampling Distributions and Estimation106 Questions
Exam 9: One-Sample Hypothesis Tests147 Questions
Exam 10: Two-Sample Hypothesis Tests113 Questions
Exam 11: Analysis of Variance126 Questions
Exam 12: Simple Regression135 Questions
Exam 13: Multiple Regression130 Questions
Exam 14: Time Series Analysis114 Questions
Exam 15: Chi-Square Tests99 Questions
Exam 16: Nonparametric Tests85 Questions
Exam 17: Quality Management108 Questions
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If a normal population has parameters μ = 40 and σ = 8, then for a sample size n = 4:
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A company wants to estimate the time its trucks take to drive from city A to cityB. The standard deviation is known to be 12 minutes. What sample size is required in order that the error will not exceed ±2 minutes, with 95 percent confidence?
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For a sample of size 16, the critical values of chi-square for a 95 percent confidence interval for the population variance are:
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As the sample size increases, the standard error of the mean:
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A financial institution wishes to estimate the mean balances owed by its credit card customers. The population standard deviation is $300. If a 99 percent confidence interval is used and an interval of ± $75 is desired, how many cardholders should be sampled?
(Multiple Choice)
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The confidence level refers to the procedure used to construct the confidence interval, rather than to the particular confidence interval we have constructed.
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