Elementary Statistics
12th Edition
ISBN: 9780321836960
Author: Mario F. Triola
Publisher: PEARSON
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Question
Chapter 13.4, Problem 4BSC
To determine
To identify: The efficiency of the Wilcoxon rank-sum test.
To explain: The meaning of efficiency of the Wilcoxon rank-sum test.
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Chapter 13 Solutions
Elementary Statistics
Ch. 13.2 - Prob. 1BSCCh. 13.2 - Prob. 2BSCCh. 13.2 - Prob. 3BSCCh. 13.2 - Prob. 4BSCCh. 13.2 - Prob. 5BSCCh. 13.2 - Prob. 6BSCCh. 13.2 - Prob. 7BSCCh. 13.2 - Prob. 8BSCCh. 13.2 - Prob. 9BSCCh. 13.2 - Prob. 10BSC
Ch. 13.2 - In Exercises 9-12, use the sign test for the data...Ch. 13.2 - Prob. 12BSCCh. 13.2 - Prob. 13BSCCh. 13.2 - In Exercises 13-16, use the sign test for the...Ch. 13.2 - Prob. 15BSCCh. 13.2 - In Exercises 13-16, use the sign test for the...Ch. 13.2 - Appendix B Data Sets.In Exercises 13-16, refer to...Ch. 13.2 - Prob. 18BSCCh. 13.2 - Appendix B Data Sets.In Exercises 17-20, refer to...Ch. 13.2 - Appendix B Data Sets.In Exercises 17-20, refer to...Ch. 13.2 - Procedures for Handling Ties In the sign test...Ch. 13.2 - Prob. 22BBCh. 13.3 - Wilcoxon Signed-Ranks Test for Freshman 15 The...Ch. 13.3 - Prob. 2BSCCh. 13.3 - Prob. 3BSCCh. 13.3 - Prob. 4BSCCh. 13.3 - Prob. 5BSCCh. 13.3 - Prob. 6BSCCh. 13.3 - Using the Wilcoxon Signed-Ranks Test.In Exercises...Ch. 13.3 - Prob. 8BSCCh. 13.3 - Prob. 9BSCCh. 13.3 - Prob. 10BSCCh. 13.3 - Appendix B Data Sets.In Exercises 9-12, refer to...Ch. 13.3 - Prob. 12BSCCh. 13.3 - Prob. 13BBCh. 13.4 - Prob. 1BSCCh. 13.4 - Prob. 2BSCCh. 13.4 - Prob. 3BSCCh. 13.4 - Prob. 4BSCCh. 13.4 - Prob. 5BSCCh. 13.4 - Prob. 6BSCCh. 13.4 - Prob. 7BSCCh. 13.4 - Prob. 8BSCCh. 13.4 - Prob. 9BSCCh. 13.4 - Prob. 10BSCCh. 13.4 - Prob. 11BSCCh. 13.4 - Prob. 12BSCCh. 13.4 - Prob. 13BBCh. 13.4 - Prob. 14BBCh. 13.5 - Effect of Lead on IQ Score Listed below are full...Ch. 13.5 - Prob. 2BSCCh. 13.5 - Notation For the data given in Exercise 1,...Ch. 13.5 - Prob. 4BSCCh. 13.5 - Prob. 5BSCCh. 13.5 - Prob. 6BSCCh. 13.5 - Prob. 7BSCCh. 13.5 - Using tho Kruskal-Wallis Test.In Exercises 5-8,...Ch. 13.5 - Prob. 9BSCCh. 13.5 - Prob. 10BSCCh. 13.5 - Prob. 11BSCCh. 13.5 - Car Crash Measurements Refer to Data See 13 in...Ch. 13.5 - Prob. 13BBCh. 13.6 - Regression If the methods of this section arc used...Ch. 13.6 - Level of Measurement Which of the levels of...Ch. 13.6 - Prob. 3BSCCh. 13.6 - Prob. 4BSCCh. 13.6 - Prob. 5BSCCh. 13.6 - Prob. 6BSCCh. 13.6 - Prob. 7BSCCh. 13.6 - Testing for Rank Correlation. In Exercises 7-12,...Ch. 13.6 - Prob. 9BSCCh. 13.6 - Testing for Rank Correlation. In Exercises 7-12,...Ch. 13.6 - Prob. 11BSCCh. 13.6 - Prob. 12BSCCh. 13.6 - Appendix B Data Sets. In Exercises 13-16, use the...Ch. 13.6 - Prob. 14BSCCh. 13.6 - Appendix B Data Sets. In Exercises 13-16, use the...Ch. 13.6 - Prob. 16BSCCh. 13.6 - Prob. 17BBCh. 13.7 - Prob. 1BSCCh. 13.7 - Prob. 2BSCCh. 13.7 - Prob. 3BSCCh. 13.7 - Prob. 4BSCCh. 13.7 - Prob. 5BSCCh. 13.7 - Prob. 6BSCCh. 13.7 - Prob. 7BSCCh. 13.7 - Prob. 8BSCCh. 13.7 - Prob. 9BSCCh. 13.7 - Baseball World Series Victories Test the claim...Ch. 13.7 - Prob. 11BSCCh. 13.7 - Prob. 12BSCCh. 13 - Prob. 1CQQCh. 13 - Prob. 2CQQCh. 13 - Prob. 3CQQCh. 13 - Prob. 4CQQCh. 13 - Prob. 5CQQCh. 13 - Prob. 6CQQCh. 13 - Prob. 7CQQCh. 13 - Prob. 8CQQCh. 13 - Prob. 9CQQCh. 13 - Sign Test Identify three different applications of...Ch. 13 - Prob. 1RECh. 13 - Prob. 2RECh. 13 - Prob. 3RECh. 13 - Prob. 4RECh. 13 - Prob. 5RECh. 13 - Using Nonparametric Tests. In Exercises 110, use a...Ch. 13 - Prob. 7RECh. 13 - Prob. 8RECh. 13 - Prob. 9RECh. 13 - Prob. 10RECh. 13 - Prob. 1CRECh. 13 - Please be aware that some of the following...Ch. 13 - Prob. 3CRECh. 13 - Prob. 4CRECh. 13 - Prob. 5CRECh. 13 - Prob. 6CRECh. 13 - Prob. 7CRECh. 13 - Prob. 8CRECh. 13 - Prob. 9CRECh. 13 - Prob. 10CRECh. 13 - Prob. 11TPCh. 13 - Prob. 10FDD
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- Olympic Pole Vault The graph in Figure 7 indicates that in recent years the winning Olympic men’s pole vault height has fallen below the value predicted by the regression line in Example 2. This might have occurred because when the pole vault was a new event there was much room for improvement in vaulters’ performances, whereas now even the best training can produce only incremental advances. Let’s see whether concentrating on more recent results gives a better predictor of future records. (a) Use the data in Table 2 (page 176) to complete the table of winning pole vault heights shown in the margin. (Note that we are using x=0 to correspond to the year 1972, where this restricted data set begins.) (b) Find the regression line for the data in part ‚(a). (c) Plot the data and the regression line on the same axes. Does the regression line seem to provide a good model for the data? (d) What does the regression line predict as the winning pole vault height for the 2012 Olympics? Compare this predicted value to the actual 2012 winning height of 5.97 m, as described on page 177. Has this new regression line provided a better prediction than the line in Example 2?arrow_forwardWhat does a G01 tell a machine to perform?arrow_forwardTable 6 shows the year and the number ofpeople unemployed in a particular city for several years. Determine whether the trend appears linear. If so, and assuming the trend continues, in what year will the number of unemployed reach 5 people?arrow_forward
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