0 Question 11 v 80/1 pt '020 819 G) Details You are conducting a test of independence for the claim that there is an association between the row variable and the column variable. FRWF REEF FEES The expected observations for this table would be What is the chi-square test-statistic for this data? X2 = 0 Question 10 v Eon pt 020 819 G) Details You are conducting a test of homogeneity for the claim that two different populations have the same proportions of the following two characteristics. Here is the sample data. |# Population Population Category 100 flf lf The expected observations for this table would be Population Population Category #1 #2 WWW if? The resulting squared Pearson residuals are: Population Population Category #1 #2 What is the chi-square test-statistic for this data? X2: Report all answers accurate to three decimal places. (Though you may need to retain more decimal places in the residuals to get the correct chi-squa re test statistic.) 0 Question 12 v 80.1/1 pt 018-20 819 Details Score on last try: 0.1 of 1 pts. See Details for more. > Next question 8 Get a similar question You can retry this question below You are conducting a test of homogeneity for the claim that two different populations have the same proportions of the following two characteristics. Here is the sample data. Population Population Category #1 #2 I A 32 84 I B 48 98 The expected observations for this table would be Population Population Category #1 #2 l A l 3 Th I' (OiEF eresutin are: g_E_ Population Population Category #1 #2 l A l B What is the chi-square test-statistic for this data? 2 _ X _ What is the P-Value for this test-statistic? P-Value = Hint: Use the =CHID|ST() formula in a spreadsheet 0 Question 9 v 802/1 pt 017-20 819 @Details Score on last try: 0.2 of1 pts. See Details for more. > Next question 8 Get a similar question You can retry this question below A store manager wants to see if the proportion of sales for an item is different in 5 locations around their store. The manager observes the number of items sold in each location for a week. Test to see if there is a difference in the proportions using oz = 0.05 a. Complete the table. Round answers to at least 4 decimal places. Location Observed Expected b. Calculate the chi-square test-statistic. X2: c. Calculate the p-value. p-value =