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SPSS Analysis: ANOVA Testing Does income differ signicantly depending on one's education level? Hypotheses: In a brief paragraph, just say your impression of the question. If you had to make an educated guess, based on your own real-life experience, do you think that income is significantly different for those who did not complete a high school degree, did complete a high school degree, and those with a college degree? State the null and alternative hypotheses (State these using the variable names; you do not need to use any numbers). SPSS Analyses: We have some data from a hypothetical sample that include 3 levels of education and income (in thousands). Results: Identify the primary goal of this analysis. Report the Fvalue and pvalue and discuss in words/paragraph if income differs signicantly by education level completed? How do you know? Examine the sample size and the number of participants within each education condition. Discuss how sample size can affect the results of a signicance test like this. What about the impact of outliers? Conclusions: Write a brief paragraph that discusses what you learned from these variables, including comparing your ndings to your guesses from the rst question above. Also, discuss some limitations of ANOVA and how this relates to your ndings. What additional information is needed to build upon your conclusions? Q . !. Household income in thousands 95% Condence Interval for Mean N Mean Std. Deviation Std. Error Lower Bound Did not complete high school 17 39.5294 17.43243 4.22799 30.5665 High school degree 7 40.8571 19.09126 7.21582 23.2007 Some college 6 88.5000 55.87754 22.81191 29.8601 Total 30 49.6333 34.24001 6.25134 36.8479 a . . Household income in thousands 95% Condence Interval for Mean Upper Bound Minimum Maximum Did not complete high school 48.4923 16.00 67.00 High school degree 58.5136 16.00 69.00 Some college 147.1399 26.00 176.00 Total 62.4188 16.00 176.00 AN OVA Household income in thousands Sum of Squares df Mean Square F Sig. Between Groups 11338.374 2 5669.187 6.755 .004 Within Groups 22660592 27 839.281 Total 33998967 29