SPSS offers the following tests for normality: Shapiro-Wilk Test Kolmogorov-Smirnov Test The null hypothesis for each test is that a given variable is normally distributed. There are two main methods of assessing normality: graphically and numerically. We can also use formal statistical tests to determine whether or not a variable follows a normal distribution. An assessment of the normality of data is a prerequisite for many statistical tests because normal data is an underlying assumption in parametric testing.

which takes on the following syntax: (x) where: x: An. Write your interpretation of the results as you would in an APA journal.Д©. Testing for Normality using SPSS Statistics Introduction. If the chosen alpha Shapiro Wilk Normality Test Using SPSS Interpretation Based. On average, did the affective distress scores improve or deteriorate over time? Provide a rationale for your answer.ДЁ. Checks the ANOVA following assumptions: normality, equality of variances. If using SPSS, what is the exact likelihood of obtaining a t-test value at least as extreme or as close to the one that was actually observed, assuming that the null hypothesis is true?Д§. The Tukey HSD test can be used to test all pairwise comparisons among means in. Is the t-test significant at alpha= 0.05? Specify how you arrived at your answer.Д¦. What is the paired samples t-test value?ДҐ. What are the means for the baseline and posttreatment affective distress scores, respectively?Д¤. What are the shapes of the distributions? If using SPSS, what are the results of the Shapiro-Wilk tests of normality for the two variables?ДЈ. If calculating by hand, draw the frequency distributions of the two variables. Do the example data meet the assumptions for the paired samples t-test? Provide a rationale for your answer.Дў. If using SPSS, what are the results of the Shapiro-Wilk tests of normality for the two variables?ДЎ.

Spss code for test of normality