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 0.05 significance level to test for a difference between the measurements from the two arms. What can be concluded? Right arm 144 134 136 134 132 Left arm 176 177 185 143 145 In this example, u, is the mean value of the differences d for the population of all pairs of 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 H;: Ha >0 О В. Но: На - 0 H: Ha <0 O D. H,: Ha = 0 ОС. Но: На+0 H1: Ha = 0 H1: Ha #0 Identify the test statistic. %3D (Round to two decimal places as needed.) Identify the P-value. P-value = (Round to three decimal places as needed.) What is the conclusion based on the hypothesis test? Since the P-value is (1) than the significance level, (2) the null hypothesis. There (3) sufficient evidence to support the claim of a difference in measurements between the two arms. (1) O greater O less O is O is not (2) O fail to reject (3) O reject

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Confidence Intervals

When we calculate intervals in probability and statistics, it can be simply termed as finding out a confidence interval. The confidence interval is usually calculated from the data set which is observed. The value of the parameter that needs to be calculated is present here only.