Which of the following is NOT true of the chi squaredχ2 test statistic? Choose the correct answer below. A. The chi squaredχ2 test statistic is based on differences between the observed and expected values. B. A small chi squaredχ2 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 squaredχ2 test statistic will be large and the P-value will be small.