W9-unit 9 feedback solutions.pdf - WWW.YORKVILLEU.CA Unit 9 Exercises \u2022 \u2022 \u2022 Due no later than 11:00 p.m on Sunday of each unit Worth 25 of final
W9-unit 9 feedback solutions.pdf - WWW.YORKVILLEU.CA Unit 9...
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BUSI1013:STATISTICS FOR BUSINESS 1 Unit 9 Exercises •Due no later than 11:00 p.m. on Sunday of each unit •Worth 25% of final grade (2.5% each) •Graded out of 24 points. Hello, All. Your assignments will be graded within 7 days of due date, and if necessary the feedback and comments will be provided in the comment boxes of grades. For an earlier up date and learning of your missed points, please see my solutions in the followings: Prior to solving for Hypothesis problem let’s remind ourselves of some important points and rules (was also mentioned in our earlier week solutions): Let’stalk about ANOVA table: How to form ANOVA table and why we chose to use F-test. Let’s say you are looking at the scenario that includes 3 populations involved and that each have a population Mean of Mue [Mue 1, Mue 2, & Mue 3].The analysis of variance [ANOVA] is a method to compare the 3 means and see if there is any differences in the mean, or they are equal. To do this you need to decide what method of test to use, i.e., F-test, X^2 test or else. Here we use F-test, because we have more than 3 populations involved and we are trying to compare the means for more than 2 populations [Please refer to your text or search the net on the type of test to use for further information]. Next, to perform ANOVA, it is easier to form a table with Rows & Columns and follow the steps of calculations. The results from Excel spreadsheet would also be displayed in a table manner. So, the best way to perform ANOVA is first form your table, and follow the steps.The ANOVA table and tests of hypotheses about meansSums of Squares help us compute the variance estimates displayed in ANOVA Tables.The sums of squares SST and SSE previously computed for the one-way ANOVA are used to form two mean squares, one for treatments and the second for error. These mean squares