# Calculate the chi-square statistic and degrees of freedom - 94825

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## shri21

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.1. Using StatCrunch, calculate the chi-square statistic and degrees of freedom for the following set of data for 300 people: Group A Group B Group C Total Had flu shot 20 30 32 82 Didnâ€™t have flu shot 80 70 68 218 Total 100 100 100 300 Is the value of the chi-square statistically significant at the 0.05 level? 2. Write a paragraph summarizing the results of the analysis in Exercise 1. 3. Using StatCrunch, calculate the chi-square statistic and degrees of freedom for the following set of data for 180 people undergoing a knee replacement treatment with a drug supplement: Treatment with drug X Treatment without Drug X Total Had > 8 wk rehab 18 32 50 Had < 8 wk rehab 70 60 130 Total 88 92 180 Is the value of the chi-square statistically significant at the 0.05 level? 4. Write a paragraph summarizing the results of the analysis in Exercise 3. 5. Given each of the following circumstances, determine whether the calculated values of chi-square are statistically significant: a. ?2 = 3.02, df = 1, ? = 0.05 b. ?2 = 8.09, df = 4, ? = 0.05 c. ?2 = 10.67, df = 3, ? = 0.01 d. ?2 = 9.88, df = 2, ? = 0.01 6. Match each of the nonparametric tests in Column A with its parametric counterpart in Column B A. Nonparametric Test B. Parametric Test 1. Mann-Whitney U-test a. Paired t-test 2. Friedman test b. One-way ANOVA 3. Kruskall-Wallis test c. Independent groups t-test 4. Wilcoxon signed-ranks test d. Repeated measures ANOVA 7. Using the information provided, indicate which statistical test you think should be used for each of the following situations: a. Independent variable: normal birth weight vs. low birth weight infants; dependent variable: 1 minute Apgar scores (1-10 scale). b. Independent variable: time of measurement (before, during, and after surgery); dependent variable: heart rate. c. Independent variable: time of measurement (before, during, and after intervention); dependent variable: did vs did not exercise regularly. d. Independent variable: infertility treatment A vs infertility treatment B vs control condition; dependent variable: did vs did not become pregnant. 8. Below are three sets of expected frequencies for the four cells of 2 X 2 contingency tables. Identify which statistical procedure would be appropriate for each, using the most conservative approach. a. 4 4 b. 35 35 c. 9 9 21 21 65 65 91 91
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