Levene's Test of Homogeneity of Variance using SPSS In Hindi

Homogeneity of variance is an assumption underlying both T test an ANOVA tating that all comparison groups have the same variance. The assumption of homogeneity of variance is important when conducting between-subjects . The assumption is that the variances of independent groups on a continuous variable are similar, "equal," or "equivalent." Levene's Test of Equality of Variances is used to assess this statistical assumption. If the p-value yielded from a Levene's test is less than .05, then the assumption of homogeneity of variance has been violated. Oftentimes, this is due to outliers in one or several of the independent groups that are being compared. List wise deletion, logarithmic transformations, or non-parametric statistics can be used when the assumption of homogeneity of variance is violated. This assumption is important when using independent samples t-tests and one-way ANOVA.
This video describes step by step how to conduct Leven’s test(test for homogeneity) in SPSS using Explore Command.
To learn about Outliers click on the link given below
• How to Find Interquart...
#Homogeneityofvariance
#Levene'stest
#assumption of T-test and ANOVA

[@kanwalpreet]

Very nicely explained madam

[@sangitabutiyani6315]

Very useful information

[@subhasharora9718]

Hello Maam. What would be the interpretation as the sig value being less than 0.5? I mean statistically what value we would use to compare stress level of men and women?