What conclusion is appropriate if a chi-square test produces a chi-square statistic near zero?

What conclusion is appropriate if a chi-square test produces a chi-square statistic near zero?
 
  a. There is a good fit between the sample data and the null hypothesis.
  b. There is a large discrepancy between the sample data and the null hypothesis.
  c. All of the expected frequencies must also be close to zero.
  d. The researcher made a mistake because chi-square can never be close to zero.

Question 2

A researcher obtains a negative value for chi-square statistic. What can you conclude because the value is negative?
 
  a. The observed frequencies are consistently larger than the expected frequencies.
  b. The expected frequencies are consistently larger than the observed frequencies.
  c. There are large differences between the observed and expected frequencies.
  d. The researcher made a mistake; the value of chi-square cannot be negative.

Question 3

What happens to the critical value for a chi-square test if the number of categories is increased?
 
  a. The critical value increases.
  b. The critical value decreases.
  c. The critical value depends on the sample size, not the number of categories.
  d. The critical value is determined entirely by the alpha level.