In chi square goodness of fit test, if the expected frequencies, and the observed frequencies were quite different, we could conclude that:
A) null hypothesis is false, and we would reject
B) chi square distribution is invalid, and use t distribution instead
C) alternate hypothesis is false, and reject
1 answer
A, assuming it exceeds you level of significance.