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PART A - Highlight Answers, please The age distribution of the Canadian population and the age distribution of a random sample of 455 residents in

PART A - Highlight Answers, please

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The age distribution of the Canadian population and the age distribution of a random sample of 455 residents in the Indian community of a village are shown below. Observed Number Age (years) Percent of Canadian Population in the Village Under 5 7.2% 48 5 to 14 13.6% 67 15 to 64 67.1% 295 65 and older 12.1% 45 LA USE SALT Use a 5% level of significance to test the claim that the age distribution of the general Canadian population fits the age distribution of the residents of Red Lake Village. (a) What is the level of significance? State the null and alternate hypotheses. O Ho: The distributions are different. H. : The distributions are different. O H : The distributions are the same. H : The distributions are different. O Ho: The distributions are different. H : The distributions are the same. O Ho: The distributions are the same. H : The distributions are the same. (b) Find the value of the chi-square statistic for the sample. (Round your answer to three decimal places.) Are all the expected frequencies greater than 5? O Yes O NoWhat sampling distribution will you use? O chi-square O Student's t O binomial O uniform O normal What are the degrees of freedom? (c) Estimate the P-value of the sample test statistic. O P-value > 0.100 O 0.050 a, we fail to reject the null hypothesis. O Since the P-value > a, we reject the null hypothesis. O Since the P-value s a, we reject the null hypothesis. O Since the P-value s a, we fail to reject the null hypothesis. (e) Interpret your conclusion in the context of the application. O At the 5% level of significance, the evidence is insufficient to conclude that the village population does not fit the general Canadian population. O At the 5% level of significance, the evidence is sufficient to conclude that the village population does not fit the general Canadian population.The type of household for the U.S. population and for a random sample of 411 households from a community in Montana are shown below. Percent of U.S. Observed Number Type of Household Households of Households in the Community Married with children 26% 108 Married, no children 29% 97 Single parent 9% 37 One person 25% 102 Other (e.g., roommates, siblings) 11% 67 LA USE SALT Use a 5% level of significance to test the claim that the distribution of U.S. households fits the Dove Creek distribution. (a) What is the level of significance? State the null and alternate hypotheses. O H : The distributions are different. H : The distributions are different. O H : The distributions are the same. H : The distributions are different. O H: The distributions are the same. H. : The distributions are the same. O H : The distributions are different. H. : The distributions are the same.(b) Find the value of the chi-square statistic for the sample. (Round the expected frequencies to two decimal places. Round the test statistic to three decimal places.) Are all the expected frequencies greater than 5? O Yes O No What sampling distribution will you use? O uniform O Student's t O chi-square O binomial O normal What are the degrees of freedom? (c) Find or estimate the P-value of the sample test statistic. (Round your answer to three decimal places.) (d) Based on your answers in parts (a) to (c), will you reject or fail to reject the null hypothesis that the population fits the specified distribution of categories? O Since the P-value > a, we fail to reject the null hypothesis. O Since the P-value > a, we reject the null hypothesis. O Since the P-value s a, we reject the null hypothesis. O Since the P-value s a, we fail to reject the null hypothesis. (e) Interpret your conclusion in the context of the application. O At the 5% level of significance, the evidence is sufficient to conclude that the community household distribution does not fit the general U.S. household distribution. O At the 5% level of significance, the evidence is insufficient to conclude that the community household distribution does not fit the general U.S. household distribution

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