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- Download: https://solutionzip.com/downloads/one-way-anova/
- 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:
- 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?
- Download: https://solutionzip.com/downloads/one-way-anova/
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