Exam 10: One-Sample Tests of Hypothesis
Exam 1: What Is Statistics79 Questions
Exam 2: Describing Data: Frequency Tables, Frequency Distributions, and Graphic Presentation129 Questions
Exam 3: Describing Data: Numerical Measures132 Questions
Exam 4: Describing Data: Displaying and Exploring Data108 Questions
Exam 5: A Survey of Probability Concepts130 Questions
Exam 6: Discrete Probability Distributions128 Questions
Exam 7: Continuous Probability Distributions131 Questions
Exam 8: Sampling Methods and the Central Limit Theorem115 Questions
Exam 9: Estimation and Confidence Intervals129 Questions
Exam 10: One-Sample Tests of Hypothesis134 Questions
Exam 11: Two-Sample Tests of Hypothesis130 Questions
Exam 12: Analysis of Variance128 Questions
Exam 13: Correlation and Linear Regression130 Questions
Exam 14: Multiple Regression Analysis129 Questions
Exam 15: Index Numbers129 Questions
Exam 16: Time Series and Forecasting129 Questions
Exam 17: Nonparametric Methods: Goodness-Of-Fit Tests129 Questions
Exam 18: Nonparametric Methods: Analysis of Ranked Data129 Questions
Exam 19: Statistical Process Control and Quality Management129 Questions
Exam 20: An Introduction to Decision Theory115 Questions
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Type II error is the probability or risk of rejecting a null hypothesis when it is actually true.
(True/False)
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It is claimed that in a bushel of peaches, less than ten percent are defective. A sample of 400 peaches is examined and 50 are found to be defective. What is the critical value for = 0.025?
(Multiple Choice)
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Among one hundred people surveyed, sixty-six people or 0.33 preferred the product. What is the 0.33 called? ________________
(Short Answer)
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A manufacturer claims that less than 1% of all his products do not meet the minimum government standards. A survey of 500 products revealed ten did not meet the standard. What is the p-value? _______________
(Short Answer)
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The probability of a Type I error is also referred to as alpha.
(True/False)
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If the null hypothesis is true and the researchers reject it, what error has been made? __________
(Short Answer)
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Based on the Nielsen ratings, the local CBS affiliate claims its 11:00 PM newscast reaches 41% of the viewing audience in the area. In a survey of 100 viewers, 36% indicated that they watch the late evening news on this local CBS station. What is the critical value if the level of significance is 0.10?
(Multiple Choice)
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One of the major U.S. tire makers wishes to review its warranty for their rainmaker tire. The warranty is for 40,000 miles. The distribution of tire wear is normally distributed with a population standard deviation of 15,000 miles. The tire company believes that the tire actually lasts more than 40,000 miles. A sample of 49 tires revealed that the mean number of miles is 45,000 miles. To test the hypothesis at a 0.05 significance level, what is the decision rule? ______________
(Short Answer)
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Hypothesis testing is a procedure that uses sample evidence and probability theory to decide whether to reject or fail to reject a hypothesis.
(True/False)
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A hypothesis regarding the weight of newborn infants at a community hospital is that the mean is 6.6 pounds. A sample of seven infants is randomly selected and their weights at birth are recorded as 9.0, 7.3, 6.0, 8.8, 6.8, 8.4, and 6.6 pounds. What is the sample variance?
(Multiple Choice)
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A hypothesis regarding the weight of newborn infants at a community hospital is that the mean is 6.6 pounds. A sample of seven infants is randomly selected and their weights at birth are recorded as 9.0, 7.3, 6.0, 8.8, 6.8, 8.4, and 6.6 pounds. What is the degree of freedom?
(Multiple Choice)
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The waiting time for patients at local walk-in health clinic follows a normal distribution with a mean of 15 minutes and a population standard deviation of 5 minutes. The quality-assurance department found in a sample of 50 patients that the mean waiting time was 14.25 minutes. At the 0.025 significance level, decide if the sample data support the claim that the mean waiting time is less than 15 minutes. State your decision in terms of the null hypothesis.
(Essay)
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A machine cuts steel to length for nails. The mean length of a nail is 43 millimeters. There is concern that the settings of the machine producing the nails have changed. To test the claim, twelve nails (n = 12) were sampled. The mean of the sample is 41.5 and the standard deviation 1.784. To decide if the sample data support the claim that mean length is 43 millimeters, state your decision in terms of the null hypothesis. Use a 0.02 level of significance.
(Short Answer)
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A manufacturer wants to increase the shelf life of a line of cake mixes. Past records indicate that the average shelf life of the mix is 216 days. After a revised mix has been developed, a sample of nine boxes of cake mix had a mean of 217.222 and a standard deviation of 1.2019. At the 0.025 significance level, decide if the sample data support the claim that shelf life has increased. State your decision in terms of the null hypothesis.
(Short Answer)
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The average cost of tuition, room and board at small private liberal arts colleges is reported to be $8,500 per term, but a financial administrator believes that the average cost is higher. A study conducted using 350 small liberal arts colleges showed that the average cost per term is $8,745 with a standard deviation of $1,200. Let = 0.05. What is the critical z-value for this test?
(Multiple Choice)
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The waiting time for patients at local walk-in health clinic follows a normal distribution with a mean of 15 minutes and a population standard deviation of 5 minutes. The clinic wants to know if waiting time is less than 15 minutes. The quality-assurance department found in a sample of 50 patients that the mean waiting time was 14.25 minutes. For a significance level of 0.05, what is the critical value?
(Short Answer)
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To decide if a null hypothesis should be rejected, a ____________ is compared to the critical value.
(Short Answer)
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If we reject the null hypothesis, what can we conclude subject to the risk?
(Multiple Choice)
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If the critical z-value for a test statistic equals 2.45, what value of the test statistic would provide the least chance of making a Type I error?
(Multiple Choice)
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