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Score on last try: 0.82 of 3 pts. See Details for more. > Next question 3 Get a similar question You can retry this question below A recent national report states the marital status distribution of the male population age 18 or older is as follows: Never Married {31.2%}, Married (56.4%), Widowed (2.3%}, Divorced (10.1%). The table below shows the results of a random sample of 973 adult men from California. Test the claim that the claim that the marital status distribution of the male population age 18 or older is different from the recent national report at the significant level of a = 0.1. For this study, we should use Your friend Tyler helped you with the null and alternative hypotheses... H0: The proportions are consistent with the national report. H1: At least one of the proportion is different from the national report. The degree of freedom = Outcome Emengy Enfafgulailg (Round as... 309 E Married 543 C] Widowed 23 C] Divorced 93 l:] :1 The test-statistic for this data = C] (Please show your answer to three decimal places.) The p-value for this sample = C] (Please show your answer to four decimal places.) The p-value is greater than alpha 3 " a 0' Base on this, we should fail to reject the null : V hypothesis 6' As such, the final conclusion is that... a Base on the sample data, there is not sufficient evidence to conclude the claim that the marital status distribution of the male population age 18 or older is different from the recent national report at the significant level of a = 0.1. Base on the sample data, there is sufficient evidence to conclude the claim that the marital status distribution of the male population age 18 or older is different 0 Question 19 v B 0 Score on last try: 0.3 of 3 pts. See Details for more. 2:3 Get a similar question You can retry this question below You are conducting a test of independence to see if getting the flu is independent of whether or not you got a u shot. Use a = 0.05. Report all answers accurate to four decimal places. Here is the sample data. Category Got the Flu 2:: \"0t get the Got Flu Shot 5:] 115 Did not get Flu Shot 23 1.5 The expected observations for this table would be: Category Got the Flu El]: not get the Got Flu Shot DD DB Did not get Flu Shot 2 The resulting %L for finding the test are: Category Got the Flu Did not get the Flu Got Flu Shot C] C] Did not get Flu Shot C] C] What is the chi-square test-statistic for this data? {add the results from the previous table) What is the p-value for this test-statistic? Wm: Can you conlude (at the 0.05 significance level} that getting the flu is independent of whether or not you got the flu shot? a No not independent: getting the flu is dependent on if you got the flu shot. Yes independent: getting the u is independent of if you got the u shot. C\" x/
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