Null and alternative hypotheses for a test are given below. Give the notation ( X , for example) for a sample statistic we might record for each simulated sample to create the randomization distribution. Ho P1 = P2 Ha P1 P2 Your answer should be an expression composed of - , , <, >, μ, M1, M₂, P. P1, P2, 0.5, p. P.P1, P₂, r. ? Edit versus symbols:

et'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…

Students in a statistics course take their first exam and the class gets μ = 75.75 and σ = 7.75.  The distribution is normally distributed (bell curve shaped).  The professor takes all the scores and turns them into z-scores.  What is true of the new z-score distribution that the professor has made? Group of answer choices

Using an evenly distributed data population of 8,000 samples, how many   Would fall between a Z-score of -0.5 and +0.5?   (blank)