Researchers collected data on the numbers of hospital admissions on a Friday, the numbers of hoenital admissione from moter velbicle oreahe om molor vonicio crashes, and results are given below for Fridays on the 6th of a month and Fridays on the following 13th of the same month. Use a 0.05 significance level to test the claim that when the 13th day of a month falls bose are not affected. Friday the 6th: 11 11 Friday the 13th: 13 12 13 10 6 10 What are the hypotheses for this test? Let Hg be the v in the numbers of hospital admissions resulting from motor vehicle crashes for the population of all pairs of data. Hg: Ha o H,: Hal o Find the value of the test statistic. (Round to three decimal places as needed.) t= Identify the critical value(s). Select the correct choice below and fill the answer box within your choice. (Round to three decimal places as needed.) O A. The critical value is t= O B. The critical values are t = + State the result of the test. Choose the correct answer below. O A. There is sufficient evidence to warrant rejection of the claim of no effect. Hospital admissions appear to be affected. O B. There is not sufficient evidence to warrant rejection of the claim of no effect. Hospital admissions appear to be affected. Oc. There is not sufficient evidence to warrant rejection of the claim of no effect. Hospital admissions do not appear to be affected. O D. There is sufficient evidence to warrant rejection of the claim of no effect. Hospital admissions do not appear to be affected.

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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.