We are interested in determining whether or not the variances of the sales at two small grocery stores are equal. A sample of 10 days of sales at Store A and a sample of 12 days of sales at Store B indicated the following. Use a=0.1. Store A n1 = 10 Store B n₂ = 12 S160 $2=40 (A) The test statistic is F = 1.50 (B) The test statistic is F= 2.25 (C) The rejection region is F22.8962 (D) The rejection region is F23.1025

I understand how to find the f-ratio and generate a conclusion however I am really struggling with the p-values.

Consider the following data: 7 8 P(X = x) 0.2 0.2 0.2 0.2 0.2 %3D Step 2 of 5: Find the variance. Round your answer to one decimal place. 5.

The following table shows the results of an analysis of variance comparing three treatment conditions. What is the value of h2, the percentage of variance accounted for? Source         SS      df      MS Between      30        2      15      F = 7.50 Within         60      30        2 Total            90      32

A researcher would like to evaluate the effectiveness of a pain-relief patch designed for back pain. Prior to testing the patch, each of n = 8 patients rates their current level of back pain on a scale from 1 to 10. After wearing the patch for 90 minutes, a second pain rating is recorded. The data are as follows:                  Before  After                      6         2                      8         3                      9         4                      8         1                    10         2                      5         3                      9         8                      7         7   a. Compute the mean and variance for the sample of difference scores. ​ b. Do the results indicate that the pain-relief patch has an effect? Use a two-tailed test with α = .05 ​ c. Compute Cohen’s d to measure the size of the effect.