Suppose that a recent issue of a magazine reported that the average weekly earnings for workers who have not received a high school diploma is $492. Suppose you would like to determine if the average weekly for workers who have received a high school diploma is significantly greater than average weekly earnings for workers who have not received a high school diploma. Data providing the weekly pay for a sample of 50 workers are available in the file named WeeklyHSGradPay. These data are consistent with the findings reported in the article. Weekly Pay687.73543.15789.45442.26684.8566 1.43 478.3629.62486.95786.47652.15652.82 669.81641.13577.24845.68541.59553.3 6743.25468.61821.71757.82657.34506. 95744.93 553.2827.92663.85 685.9637.25530.54515.85588.77506.62 720.84503.01583.18 7,980.24465.55593.12605.33701.56491 .86 763.4711.19631.73605.89828.37477.81 703.06A. Use the data in the file named WeeklyHSGradPay to compute the sample mean, the test statistic, and the p-value. (Round your sample mean to two decimal places, your test statistic to three decimal places, and your p-value to four decimal places.)test statistic =p-value =B. Use α = 0.05. Find the value of the test statistic. (Round your answer to three decimal places.)State the critical values for the rejection rule. (Round your answers to three decimal places. If the test is one-tailed, enter NONE for the unused tail.)1. Test statistic ≤2. Test statistic ≥