The following table shows age distribution and location of a random sample of 166 buffalo in a national park. Age Lamar District Nez Perce District Firehole District Row Total Calf 16 17 8 41 Yearling 8 11 14 33 Adult 38 32 22 92 Column Total 62 60 44 166 Use a chi-square test to determine if age distribution and location are independent at the 0.05 level of significance. (a) What is the level of significance? State the null and alternate hypotheses. H0: Age distribution and location are independent. H1: Age distribution and location are independent. H0: Age distribution and location are not independent. H1: Age distribution and location are independent. H0: Age distribution and location are not independent. H1: Age distribution and location are not independent. H0: Age distribution and location are independent. H1: Age distribution and location are not independent. (b) Find the value of the chi-square statistic for the sample. (Round the expected frequencies to at least three decimal places. Round the test statistic to three decimal places.) Are all the expected frequencies greater than 5? Yes No What sampling distribution will you use? normal binomial uniform chi-square Student's t 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 of independence? Since the P-value > , we fail to reject the null hypothesis. null hypothesis. Since the P-value > , we reject the Since the P-value , we reject the null hypothesis. Since the P-value , we fail to reject the null hypothesis. (e) Interpret your conclusion in the context of the application. At the 5% level of significance, there is sufficient evidence to conclude that age distribution and location are not independent. At the 5% level of significance, there is insufficient evidence to conclude that age distribution and location are not independent