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Calculate the test statistic, 2=P-Value=What is the conclusion for this hypothesis test?A. Fail to reject H0. There is sufficient evidence to warrant rejection of the

Calculate the test statistic, 2=P-Value=What is the conclusion for this hypothesis test?A. Fail to reject H0. There is sufficient evidence to warrant rejection of the claim that homicides in a city are equally likely for each of the 12 months.B.Reject H0. There is sufficient evidence to warrant rejection of the claim that homicides in a city are equally likely for each of the 12 months.C. Reject H0. There is insufficientinsufficient evidence to warrant rejection of the claim that homicides in a city are equally likely for each of the 12 months.D. Fail to reject H0. There is insufficientinsufficient evidence to warrant rejection of the claim that homicides in a city are equally likely for each of the 12 months.Is there sufficient evidence to support the police commissioner's claim that homicides occur more often in the summer when the weather is better?A. There is sufficient evidence to support the police commissioner's claim that homicides occur more often in the summer when the weather is better.B. There is not sufficient evidence to support the police commissioner's claim that homicides occur more often in the summer when the weather is better.Please answer all the questions

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For a recent year, the following are the numbers of homicides that occurred each month in a city. Use a 0.05 significance level to Full data set test the claim that homicides in the city are uniformly distributed. Based on the results, does it appear that homicides in the city Month Number Month Number occur more often in certain months, that is, that the distribution of homicides in the city is not uniformly distributed? Jan. Feb. Aug. March Sep. April Oct. May Nov. June Dec Determine the null and alternative hypotheses. Ho: The distribution of the number of homicide crimes by month is uniform. H.: The distribution of the number of homicide crimes by month is not uniform. Calculate the test statistic, x2. x2 = (Round to three decimal places as needed.)

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