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History Bookmarks Window Help awww-awu.aleks.com C McGraw-Hill Campus - Introduction to Statistics... McGraw-Hill Education Campus O CHI-SQUARE TESTS, INFERENCES FOR REGRESSION, AND Chi-square test of
History Bookmarks Window Help awww-awu.aleks.com C McGraw-Hill Campus - Introduction to Statistics... McGraw-Hill Education Campus O CHI-SQUARE TESTS, INFERENCES FOR REGRESSION, AND Chi-square test of independence Olivia v Espanol To determine a target audience for a new software package, a computer company surveyed a large random sample of potential customers, asking each whether he/she uses a previous version of the software on a regular basis. (The company considered "a regular basis" to be at least three times a week.) The data, as summarized in the contingency table below, were classified according to two variables: the age of the respondent ("under 18", "18-35", "36-54", "55+") and software use ("on a regular basis" or "not on a regular basis"). Each cell of the table contains three numbers: the first number is the observed cell frequency (); the second number is the expected cell frequency () under the assumption that there is no dependence between age and software use and the third number is the following value. (o /) (Observetellfrequency Expectedellfrequency JE Expectedellfrequency The numbers labeled "Total" are totals for observed frequency. Part 1 Fill in the missing values in the contingency table. Round your expected frequencies to two or more decimal places, and round your - values to three or more decimal places. JE Send data to Excel Age (in years) Under 18 18-35 36-54 554 Total 138 119 121 On a regular basis 114.54 412 1.392 3.364 Software 177 187 157 use Not on a 163.46 583 regular basis 0.97 01255 Total 306 278 1090 Part 2 Answer the following to summarize the test of the hypothesis that there is no dependence between age and software use. For your test, use the 0.05 level of significance. (a) Determine the type of test statistic to use. Type of test statistic: Choose one) (b) Find the value of the test statistic. (Round to two or more decimal places.) Explanation Check 2032 MeGraw H_ LLC. All Rights Reserved Terms of : Five: Center A65:5351 DESHistory Bookmarks Window Help " www-awu.aleks.com McGraw-Hill Campus - Introduction to Statistics. McGraw-Hill Education Campus O CHI-SQUARE TESTS, INFERENCES FOR REGRESSION, AND Chi-square test of independence 1/5 Olivia v Observertellfrequency Expectedellfrequency Espanol JE Expectedell frequency The numbers labeled "Total" are totals for observed frequency. Part 1 P Fill in the missing values in the contingency table. Round your expected frequencies to two or more decimal places, and round your - values to three or more decimal places. JE Send data to Excel Age (in years) Under 18 18-35 36-54 55+ Total 138 119 121 On a regular basis 114.5 412 -392 0.364 Software use 177 187 67 157 Not on a regular basis 9139 163.46 588 10.975 0.255 Total 315 306 101 278 1000 Part 2 Answer the following to summarize the test of the hypothesis that there is no dependence between age and software use. For your test, use the 0.05 level of significance. (a) Determine the type of test statistic to use. Type of test statistic Choose one) (b) Finkthe value of the test statistic. (Round to two or more decimal places.) (c) Find the critical value for a test at the 0.05 level of significance. (Round to two or more decimal places.) (d) Can we reject the hypothesis that there is no dependence between age and software use? Use the 0.of level of significance. Yes No Explanation check "LLC. All Rights Reserved. Terms of Uss ( Five5 Center I Accessibility
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