Final answer:
A goodness-of-fit test compares observed values with expected values to determine if data fits a particular distribution. The table of chi-square values in the textbook can be used to assess the goodness-of-fit by comparing calculated and critical chi-square values.
Step-by-step explanation:
A goodness-of-fit test is used to determine if data fits a particular distribution. It compares observed values against the values that are expected if the data followed the assumed distribution. To assess the goodness-of-fit, you can use the table of chi-square values in your textbook. The table provides critical values for different degrees of freedom and significance levels. By comparing the calculated chi-square value from your data with the critical value from the table, you can determine whether the data fits the assumed distribution.