Calculating/ interpreting ANOVA table Mathematics Statistics Project (Statistics Project Sample)
The purpose of this assignment is to calculate and interpret an ANOVA table. For this assignment, use IBM SPSS Statistics.
Using the "Example Dataset," assess this statement using ANOVA: "People with different levels of education exercise for different amounts of time during the week."
Select and conduct the appropriate ANOVA test to assess the statement. Export the ANOVA table to a Word document.
In 250-500 words, discuss the following regarding the use of ANOVA.
Describe when the use of ANOVA is more appropriate than the use of a t-test.
Describe which ANOVA test you used and why.
Interpret the results by (a) stating the reason the study or test was done; (b) presenting the main results, including explaining the within and between subjects variation and the F-ratio from the ANOVA table; (c) explaining what the results mean, including discussing whether there is a statistically significant difference between education groups and amount of exercise; and (d) making suggestions for future research.
Submit one Word document for the Part 1 assignment content and a second Word document for Part 2 of the assignment. Submit both Word documents to the instructor.
APA style is not required, but solid academic writing is expected.
This assignment uses a rubric. Please review the rubric prior to beginning the assignment to become familiar with the expectations for successful completion.
The purpose of conducting this research was to find how different people with varying levels of education exercise for varying amounts of time throughout the week. Both t-test and ANOVA could be used for this purpose, but I chose ANOVA because it enabled me to see the effectiveness of the population. An ANOVA also gives information on whether the project is budget-friendly or not. Plus, it helped me understand how long it would take to complete the work. During the project, I ensured that the population sample was normal and that the observations were independent in every sample. I also ensured that the population the samples were selected from had equal variance a.k.a. homogeneity of variance. All these things were impossi
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