Pacific region population parameter

  Setup: Define Pacific region population parameter, including hypothesis statements, and specify the appropriate test. --Define Pacific population parameter. --Write the null and alternative hypotheses. Note: Remember, the salesperson believes that his sales are higher. --Specify name of the test is Pacific Region. --Identify whether it is a left-tailed, right-tailed, or two-tailed test. --Identify significance level. -Data Analysis Preparations: Describe sample summary statistics, provide a histogram and summary, check assumptions, and find the test statistic and significance level. --Provide the descriptive statistics (sample size, mean, median, and standard deviation). --Provide a histogram of the sample. --Describe the sample by writing a sentence describing the shape, center, and spread of the sample. --Determine whether the conditions to perform identified test have been met. -Calculations: Calculate the p value, describe the p value and test statistic in regard to the normal curve graph, discuss how the p value relates to the significance level, and compare the p value to the significance level to reject or fail to reject the null hypothesis. -Determine the appropriate test statistic, then calculate the test statistic. Note: This calculation is (mean – target)/standard error. In this case, the mean is the Pacific regional mean (Pacific), and the target is 275. --Calculate the p value. --Note: For right-tailed, use the T.DIST.RT function in Excel, left-tailed is the T.DIST function, and two-tailed is the T.DIST.2T function. The degree of freedom is calculated by subtracting 1 from the sample size. --Choose your test from the following: =T.DIST.RT([test statistic], [degree of freedom]) =T.DIST([test statistic], [degree of freedom], 1) =T.DIST.2T([test statistic], [degree of freedom]) --Using the normal curve graph as a reference, describe where the p value and test statistic would be placed. -Test Decision: Discuss the relationship between the p value and the significance level, including a comparison between the two, and decide to reject or fail to reject the null hypothesis. --Discuss how the p value relates to the significance level. --Compare the p value and significance level, and make a decision to reject or fail to reject the null hypothesis. -Conclusion: Discuss how the test relates to the hypothesis and discuss the statistical significance. --Explain in one paragraph how the test decision relates to the hypothesis and whether the conclusions are statistically significant.