2. The  $x2$  goodness-of-fit test is always a right-tailed test.

3. The shape of the     $x2$  distribution depends on the sample size.  

4. The    $x2$  goodnesss-of-fit test is always demonstratedas a left-tailed test.

5. The goodness-of-fit test provieds us with a procedure for determining whether a set of data is good fit to a theoritical model.

6. Nonparametric tests are methods of statistical analysis that do not require a distribution to meet the required assumptions to be analyzed.

7. The Chi-Square is not particularly useful in tests evaluating a relationship between nominal or ordinal data.

8. Chi-Square analysis compares the observed frequencies of the responses with the expected frequencies.

9. The expected frequencies in a contingency table are the actual numbers observed or recorded in each cell of the table.

10. The degrees of freedom for an r x c contingency table is given by (r-1)(c-1), where r represents the number of rows and c represents the number of columns.