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Mental Wellbeing Assignment (Doc)

   

Added on  2020-04-15

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Running head: MENTAL WELLBEINGMental WellbeingNameCourse NumberDateFaculty Name
Mental Wellbeing Assignment (Doc)_1
Running head: MENTAL WELLBEINGMental WellbeingTwo-Way ANOVAAssumptionsTwo-Way ANOVA assumes that the samples were obtained from an approximately normallydistributed population. Independence of the samplesSame sample size for the groupsHomogeneityTable 1: Normal Distribution and outliersTests of NormalityKolmogorov-SmirnovaShapiro-WilkgenderStatisticDegrees of freedomSig.StatisticDegrees of freedomSig.Mental Wellbeingmale.12429.200*.92629.044female.07985.200*.97685.113*. This is a lower bound of the true significance.a. Lilliefors Significance CorrectionAccording to the Kolmogorov-Smirnov test, the results show that the sample of mental wellbeingwas obtained from approximately normally distributed populations for both male and female participantsbecause the p-value is greater than significance level. However, regardless of the results obtained fromthe Kolmogorov-Smirnov, we will rely on Shapiro-Wilk because it is referred as the most powernormality test. The test is significant for the made group and insignificant for the female. This showsthat males were not obtained from a normally distributed population, while the female participants were.Since the data on female participants was found to be normally distributed, we can state in case theoutliers, they did do not affect the distribution significantly. On the other side, the presence of outliersmight have significantly affected the distribution of the male sample. Table 2: Test of Homogeneity
Mental Wellbeing Assignment (Doc)_2

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