Question

The Kolmogorov-Smirnov test for normality is an alternative to the chi-squared test for normality only when expected frequencies are large, the sample is randomly taken, and the observed variable is at least interval.

a) True
b) False

Answer 1

The statement that the Kolmogorov-Smirnov (K-S) test for normality is only an alternative to the chi-squared test for normality when expected frequencies are large, the sample is randomly taken, and the observed variable is at least interval is False.

Step-by-step explanation:

The statement that the Kolmogorov-Smirnov (K-S) test for normality is only an alternative to the chi-squared test for normality when expected frequencies are large, the sample is randomly taken, and the observed variable is at least interval is False. The Kolmogorov-Smirnov test for normality is actually a nonparametric test that does not require assumptions about the distribution or expected frequencies. It compares the empirical distribution function of the observed data with the cumulative distribution function of the normal distribution.