Which of the following is NOT true of the chi squared test statistic? Question content area bottom Part 1 Choose the correct answer below. A. The chi squared test statistic is based on differences between the observed and expected values. B. A small chi squared test statistic leads us to conclude that there is not a good fit with the assumed distribution. C. If the observed and expected frequencies are not close, the chi squared test statistic will be large and the P-value will be small