In a chi-squared goodness-of-fit test, if the expected frequencies $e _ { i }$ and the observed frequencies $f _ { i }$ were quite different, which of the following is the best conclusion?
A)Null hypothesis is false, and reject Ho.
B)Null hypothesis is true, and do not reject Ho.
C)Alternative hypothesis is false, reject HA.
D)Chi-squared distribution is invalid, use t-distribution instead.

Question

Quizplus · Accepted Answer

When the expected frequencies and the observed frequencies differ significantly in a chi-squared goodness-of-fit test, it suggests that the observed data do not fit the expected distribution under the null hypothesis, leading to the rejection of the null hypothesis (Ho).

In a Chi-Squared Goodness-Of-Fit Test, If the Expected Frequencies eie _ { i }ei​

In a Chi-Squared Goodness-Of-Fit Test, If the Expected Frequencies $e _ { i }$