Exam 10: Introduction to Estimation
Exam 1: What Is Statistics46 Questions
Exam 2: Graphical Descriptive Techniques 194 Questions
Exam 3: Graphical Descriptive Techniques 2156 Questions
Exam 4: Numerical Descriptive Techniques275 Questions
Exam 5: Data Collection and Sampling84 Questions
Exam 6: Probability240 Questions
Exam 7: Random Variables and Discrete Probability Distributions283 Questions
Exam 8: Continuous Probability Distributions224 Questions
Exam 9: Sampling Distributions156 Questions
Exam 10: Introduction to Estimation154 Questions
Exam 11: Introduction to Hypothesis Testing189 Questions
Exam 12: Inference About a Population153 Questions
Exam 13: Inference About Comparing Two Populations170 Questions
Exam 14: Analysis of Variance157 Questions
Exam 15: Chi-Squared Tests179 Questions
Exam 16: Simple Linear Regression and Correlation304 Questions
Exam 17: Multiple Regression160 Questions
Exam 18: Model Building148 Questions
Exam 19: Nonparametric Statistics175 Questions
Exam 20: Time-Series Analytics and Forecasting225 Questions
Exam 21: Statistical Process Control140 Questions
Exam 22: Decision Analysis123 Questions
Exam 23: Conclusion47 Questions
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A financial consultant wanted to determine the mean annual return on Bond funds.A random sample of 60 returns shows a mean of 12%.If the population standard deviation is assumed to be 4%,estimate with 95% confidence the mean annual return on all Bond funds.
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Draw sampling distributions of a consistent estimator for μ where one sample mean is larger than the other.
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An economist is interested in studying the spending habits of consumers in a particular region.The population standard deviation is known to be $1,000.A random sample of 50 individuals resulted in an average expense of $15,000.What is the width of the 99% confidence interval?
(Short Answer)
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A market researcher is interested in studying the incomes of consumers in a particular region.The population standard deviation is known to be $1,000.A random sample of 50 individuals resulted in an average income of $15,000.What is the upper end point in a 99% confidence interval for the average income?
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An unbiased estimator is a sample statistic whose expected value equals the population parameter.
(True/False)
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An unbiased estimator is said to be consistent if the difference between the estimator and the parameter grows smaller as the sample size grows larger.
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An unbiased estimator has an average value (across all samples)equal to the population parameter.
(True/False)
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Knowing that an estimator is unbiased only assures us that its expected value equals the parameter,but it does not tell us how close the estimator is to the parameter.
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The sampling error for a confidence interval is also defined as the ____________________ of ____________________.
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Time Spent Playing Computer Games
Suppose that the amount of time teenagers spend playing computer games per week is normally distributed with a standard deviation of 1.5 hours.A sample of 100 teenagers is selected at random,and the sample mean computed as 6.5 hours.
-{Time Spent Playing Computer Games Narrative} Interpret the 95% confidence interval for this situation.
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If there are two unbiased estimators of a parameter,the one whose variance is smaller is said to be relatively efficient.
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A confidence interval is a probability statement about the ____________________ mean.
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The sample variance is a point estimate of the population variance.
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When estimating the population mean using a confidence interval,the sample mean is in the ____________________ of the interval.
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The population mean is a(n)____________________ but ____________________ quantity.
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A point estimate consists of a single sample statistic that is used to estimate the true population parameter.
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The difference between the sample statistic and actual value of the population parameter is the confidence level of the estimate.
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A confidence interval is an interval estimate for which there is a specified degree of certainty that the actual value of the population parameter will fall within the interval.
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