Statistical Assumptions and Data Analysis: Examining Normality and Homogeneity of Variance Using SPSS

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Statistical Assumptions and Data Analysis: Examining Normality and Homogeneity of Variance Using SPSS 1.Why do we care whether the assumptions required for statistical tests are met? (Tip: You might also want to write your answer on a note card you paste to your computer.) Assumptions are needed to draw accurate conclusions about realitytest Different assumptions are made for various statistical models and in order for models to reflect reality accurately; their assumptions need to be true . If assumptions are broken, accurate conclusions cannot be drawn about the data distribution. T herefore, part of the data process involves checking to make sure that your data doesn't fail this assumption . 2.Open the data set that you corrected in Activity #1 for DownloadFestival.sav. You will use the following variables: Day1, Day2, and Day3 (hygiene variable for all three days). Create a simple histogram for each variable. Choose to display the normal curve (under Element Properties) and title your charts. Copy these plots into your Word document.
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3.Now create probability - probability (p - p) plots for each variable. This output will give you additional information. Read over the Case Processing Summary. Notice that there is missing data for Days 2 and Day 3. Copy only the Normal p - p Plots into your Word document (you do not need to copy the beginning output nor the Detrended Normal p - p Plots).
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