Question

The one-sample runs test uses a test statistic that is normally distributed, as long as the number of runs of each type is large enough.

Parametric tests generally are more powerful than nonparametric tests when normality can be assumed.

Rejection of a hypothesis using a nonparametric test is less convincing than using an equivalent parametric test, since nonparametric tests generally make fewer assumptions.

In a hypothesis test using chi-square, if the null hypothesis is true, the sample value of the sample chi-square test statistic will be exactly zero.

The chi-square test is unreliable when there are any cells with small observed frequency counts.

true or false

Answer 1

The one-sample runs test uses a test statistic that is normally distributed, as long as the number of runs of each type is large enough. : TRUE

Parametric tests generally are more powerful than nonparametric tests when normality can be assumed. : TRUE

Rejection of a hypothesis using a nonparametric test is less convincing than using an equivalent parametric test, since nonparametric tests generally make fewer assumptions. : TRUE

In a hypothesis test using chi-square, if the null hypothesis is true, the sample value of the sample chi-square test statistic will be exactly zero. : FALSE

The chi-square test is unreliable when there are any cells with small observed frequency counts. : TRUE