Respond to the following short answer questions from Chapter4 in the Morgan, Leech, Gloeckner, & Barrett textbook:

D3.4.1 Using Outputs 4.1a and 4.1b: (a) What is the meanvisualization test score? (b) What is the skewness statistic for mathachievement test? What does this tell us? (c) What is the minimum score formosaic pattern test? How can that be?

D3.4.2.Using Output 4.1b: (a) For which variables that wecalled scale, is the skewness statistic more than 1.00 or less than 1.00? (b)Why is the answer important? (c) Does this agree with the boxplot for Output4.2? Explain.

D3.4.3.Using Output 4.2b: (a) How many participants havemissing data? (b) What percent of students have a valid (non-missing)motivation scale or competence scale score? (c) Can you tell from Outputs 4.1and 4.2b how many are missing both motivation scale and competence scalescores? Explain.

D3.4.4.Using Output 4.4: (a) Can you interpret the means?Explain. (b) How many participants are there altogether? (c) How many havecomplete data (nothing missing)? (d) What percent are in the fast track? (e)What percent took algebra 1 in h.s.?

D3.4.5.Using Output 4.5: (a) 9.6% of what group areAsian-Americans? (b) What percent of students have visualization 2 scores of 6?(c) What percent had such scores of 6 or less?

Morgan, G., Leech, N., Gloeckner, G., Barrett, K. (2020). IBM SPSS for Introductory StatisticsĀ (5th Ed.). New York, NY