MATLAB: An Introduction with Applications
6th Edition
ISBN: 9781119256830
Author: Amos Gilat
Publisher: John Wiley & Sons Inc
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What are your explanatory and reponse variables. Using ANOVA table, conclude the regression ANOVA F test listing hypotheses, test statistics, p value, decision, and conclusion.
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- a. Use a = 0.10 to test for a statistically significantly difference between the population means for first- and fourth-round scores. What is the p-value? t-value (to 3 decimals) Degrees of freedom p-value is greater than 0.20 What is your conclusion? There is no significant difference between the mean scores for the first and final rounds. b. What is the point estimate of the difference between the two population means? (to 2 decimals) For which round is the population mean score lower? First round c. What is the margin of error for a 90% confidence interval estimate for the difference between the population means? (to 3 decimals) Could this confidence interval have been used to test the hypothesis in part (a)? Yes Explain. Use the point of the difference between the two population means and add and subtract this MOE. If zero is in the interval the difference is not statistically significant. If zero is not in the interval the difference is statistically significant.arrow_forwardA researcher is studying psychological factors in athletic achievement among teenage boys. One variable she is particularly interested in is determination. What information does a measure of variability for the variable determination convey? Check all that apply. O What is the average value for the variable determination among teenage boys? 7 Do all teenage boys have the same amount of determination? How spread out are the values for determination amoung teenage boys? What is the most common value for the variable determination among teenage boys? Please help I tried my best to solve this problem but I’m still getting it wrongarrow_forwardIn an ANOVA table for a multiple regression analysis, the global test of significance is based on the _________. Select one: a. Regression mean square divided by the mean square error b. Treatment mean square and block mean square c. Treatment mean square divided by the error variation d. Block and error variationarrow_forward
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