Randomly selected birth records were obtained, and categorized as listed in the table to the right. Use a 0.01 significance level to test the reasonable claim that births occur with equal frequency on the different days of the week. How might the apparent lower frequencies on Saturday and Sunday be explained? Day Number of Births Sun 39 Tues 56 Thurs 55 Fri 58 Sat 45 Mon Wed 59 60 Determine the null and altenative hypotheses. Calculate the test statistic, . (Round to three decimal places as needed.) Calculate the Pvalue. P.value (Round to four decimal places as needed.) What is the conclusion for this hypothesis test? OA Reject Ho. There is insufficient evidence to warrant rejection of the claim that births occur with equal frequency on the different days of the week. OB. Fail to reject Hg. There is sufficient evidence to warrant rejection of the claim that births occur with equal frequency on the different days of the week. OC. Fail to reject Hg. There is insufficient evidence to warrant rejection of the claim that births occur with equal frequency on the different days of the week OD. Reject Ho. There is sufficient evidence to warrant rejection of the claim that births occur with equal frequency on the different days of the week. How might the apparent lower frequencies on Saturday and Sunday be explained? OA Induced or Caesarean-section births are scheduled during the week whenever possible. OB. Induced or Caesarean-section births are scheduled on weekends whenever possible.

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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.