In a goodness-of-fit test, one sample showed that the observed frequency and the expected frequency eiwere quite different for each cell.We can conclude that:
A) the null hypothesis is likely not true.
B) the null hypothesis is likely true.
C) the alternative hypothesis is likely true.
D) the chi-square distribution is likely invalid in this situation.

Question

Quizplus · Accepted Answer

A large difference between the observed and expected frequencies in a goodness-of-fit test indicates that the null hypothesis is unlikely to be true, and that there may be a significant difference between the expected and observed distributions.

In a Goodness-Of-Fit Test, One Sample Showed That the Observed