Listed below are systolic blood pressure measurements (mm Hg) taken from the right and left arms of the same woman. Assume that the paired sample data is a simple random sample and that the differences have a distribution that is approximately normal. Use a 0.01 significance level to test for a difference between the measurements from the two arms. What can be concluded? Right arm Left arm 150 138 138 129 129 O 169 167 178 142 138 In this example, Ha is the mean value of the differences d for the population of all pairs data, where each individual difference d is defined as the measurement from the right arm minus the measurement from the left arm. What are the null and alternative hypotheses for the hypothesis test? O A. Ho: Ha = 0 O B. Ho: Ha +0 H1: Ha <0 H4: Hg >0 OC. Họ: Ha #0 O D. Ho: Ha =0 H: H =0 H1: Hg #0 Identify the test statistic. t= (Round to two decimal places as needed.) Identify the P-value. P-value = (Round three decimal places as needed.) What is the conclusion based on the hypothesis test? Since the P-value is V than the significance level, V the null hypothesis. There V sufficient evidence to support the claim of a difference measurements between the two arms.

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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.