For a recent year, the following are the numbers of homicides that ocoured each month in a city. Use a0.05 significance level to test the claim that homicides in he yare uniformly distributed. Based on the results, doestappear that homicides in the city occur more often in certain months, that is, that the distribution of homicides in the oity is not uniformly distributed? Fu data set Month Number Month Numbe Determine the nul and atemative hypotheses Calculate the test statstic, -ORound to three decimal places as needed) Cleuate the Pvalue Prvalue-ORound to thvee decimal places as needed.) What is the conclusion for this hypothesis test7 OA Reject Ho. There is insufficient evidence to warrant rejection of the claim that homicides in a oity are uniformly distributed. OB. Fal to reject H There is insuficient evidence to warrant rejection of the claim that homicides in a city are uniformly distributed. OC. Fail to reject H. There is sufficient evidence to warant rejection of the claim that homicides in a city are uniformly distributed. OD. Reject H. There is suficient evidence to warant rejection of the daim that homicides in a oty are uniformly distributed. Based on the resuts, does it appear that homicides in the oity occur more ofen in certain months, that is that the distribution of homicides in the city is not uniformly distributed? OA Based on the results, itappears hat homicides occur more often in certain months OB. Based on the results, it does not appear that homicides occur more often in certain months

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Contingency Table

A contingency table can be defined as the visual representation of the relationship between two or more categorical variables that can be evaluated and registered. It is a categorical version of the scatterplot, which is used to investigate the linear relationship between two variables. A contingency table is indeed a type of frequency distribution table that displays two variables at the same time.

Binomial Distribution

Binomial is an algebraic expression of the sum or the difference of two terms. Before knowing about binomial distribution, we must know about the binomial theorem.