02
Apr
T Test Unequal Sample Sizes. I have been using proc. If auto it will automatically uses Welch T-test when the sample sizes are unequal as recommended by Zimmerman 2004. A paired sample t-test for unequal sample sizes. I understand that if you collect data pre and post-intervention from the same individuals a paired sample t-test is the best option to compare.
SPSS provides a correction to the t-test in cases where there are unequal variances. A paired sample t-test for unequal sample sizes. I have used both the paired samples t-test and the wilcoxin signed ranked test. In short if your ns are equal then. This is commonly known as the Aspin-Welch test Welchs t-test Welch 1937 or the Satterthwaite method. This procedure provides sample size and power calculations for one- or two-sided two-sample t-tests when no assumption of equal variances for the two population is made.
Obviously there is an unequal sample size due to the difference in the number of recruits for each year both pre-championship and post-championship.
Sample 1 197146 228245 263348 254338 208310 193516 291662 215908 250997 180220 208439 288265 238161 270340 235834 186316 224471 278443 253329 266790 237872 284952 279284 222871 132098 Sample 2 400790. I understand that if you collect data pre and post-intervention from the same individuals a paired sample t-test is the best option to compare. The estimated probability is a function of sample size variability level of significance and the difference between the null and alternative hypotheses. The two-sample t-test makes no assumption about equal sample sizes. Unequal sample size 16 June 2014. However when one has unequal variances and unequal sample sizes this c.