State the conclusion Ho There is evidence to conclude that the population mean waiting time is different from 3.8 minutes b. Because the sample size is 64, do you need to be concerned about the shape of the population distribution when conducting the t test in (a? Explain Choose the correct answer below OA. No, because n is equal to 64, the sampling distribution of the t test is approximately normal In general the t test is appropriate for this sample size unless the population is skewed O B. No, because n is equal to 64, the sampling distribution of the t test is approximately nomal In general, the t test is appropriate for a large sample size OC. Yes, because n is equal to 64, the sampling distribution of the t test cannot be determined In general, the t test requires ia larger sample sze OD. Yes, because n is equal to 64, the sampling distribution of the t test cannot be determined In general the t test is only appropriate for a normaly distributed sample

I'm stuck, i can not get past the second part.

Let's look at attendance between the two leagues and draw some conclusions. For purposes parts D and E, we are assuming that separating the data into 2 groups based on League is considered sampling; thus, we have 2 samples (American League and National League) and assume we do NOT know the population standard deviations for both "populations" (we only have 1 overall population, not 2). What was the average attendance in each league? Round your answer to 3 decimal places. American League average attendance   mil National League average attendance   mil space space Perform a hypothesis test to determine whether there is a difference in the mean attendance of teams in the American League vs teams in the National League. Use a 0.05 level of significance in your testing procedures. Additionally: You will need to know the standard deviations and variances for attendance in each league to conduct this test. We are assuming that both American and National League attendance…

Please answer parts A & B, the data table is in the picture below. Thank you! :)