What Is Difference Between Z Test And T Test? Difference between Z-test and t-test: Z-test is used when sample size is large (n>50), or the population variance is known. t-test is used when sample size is small (n<50) and population variance is unknown. What is the difference between z score and t-test? Difference between Z
What Are The Assumptions Of An Anova Test? ANOVA assumes that the data is normally distributed. The ANOVA also assumes homogeneity of variance, which means that the variance among the groups should be approximately equal. ANOVA also assumes that the observations are independent of each other. What are the 3 assumptions needed to implement ANOVA?
When Can You Assume Population Variances Are Equal? If sample sizes are equal, the pooled and unpooled standard errors are equal. If sample standard deviations are similar, assumption of equal population variance may be reasonable and the pooled procedure could be used. How do you know if population variances are equal? If the variances are