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Problem Four) This problem will introduce the lea...




Problem Four) This problem will introduce the learner into a technique called Analysis of Variance. For this course we will only conduct a simple One-Way ANOVA and touch briefly on the important elements of this technique. The One-Way ANOVA is an extension of the independent ?t test that can only look at two independent sample means. We can use the One-Way ANOVA to look at three or more independent sample means. Use the following data to conduct a One-Way ANOVA: (1) Go to the following website to conduct the One-Way ANOVA: (2) When you are directed to the above website, a window (See Below) will ask you for the number of samples. You will use 3 samples; so type in the number 3 in the space and click OK (3) When the next page opens, locate the Data Entry Cells (See Screen Capture Below) and enter the data for each group as shown in the diagram. (4) Click on the ?Calculate? tab beneath this table. This will produce data in the Data Summary Chart and in the ANOVA Summary Table (See Diagram Below). (5) Click on the link for the Tukey HSD test shown to the right of the ANOVA Summary table. Another window will open (See Diagram Below). You will need to complete the boxes highlighted in red and then click on the ?calculate? tab. This will produce values in the boxes under the heading ?Pair-Wise Comparisons via Tukey HSD Test.? Interpret the values generated to determine which group means differ. (6) Click on the ?Printable Report? tab beneath the ANOVA Summary table and another window will open. Do a screen capture to capture the contents of the printable summary and paste the screen capture in your assignment paper. (7) Answer the questions below about the ANOVA analysis. Scores Group 1 1 2 1 3 1 2 2 3 2 4 2 4 3 5 3 6 3 Notice the group (grouping) variable, which is the independent variable or factor is made up of three different groups. The scores are the dependent variable. Use the instructions for conduction an ANOVA on page 438 of the text for SPSS or Excel. a) What is the F-score; Are the results significant, and if so, at what level (P-value)? b) If the results are significant to the following: Click analyze, then click Compare Means, and then select one-way ANOVA like you did previously. Now click Post Hoc. In this area check Tukey. If there is a significant result, we really do not know where it is. Is it between group 1 and 2, 1 and 3, or 2 and 3? Post hoc tests let us isolate where the level of significance was. So if the results come back significant, conduct the post hoc test as I mentioned above and explain where the results were significant. c) What do the results obtained from the test mean?


Paper#13333 | Written in 18-Jul-2015

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