Which of the following accurately describes the chi-square test for goodness of fit?

For which of the following scenarios is a chi-square $\chi 2^{}$ goodness-of-fit test most appropriate?

A scientist conducts a chi-square goodness of fit test with $4$ categories and obtains observed frequencies of $18$, $22$, $20$, and $20$. The expected frequency for each category is $20$. Which of the following values is closest to the chi-square value the scientist calculated?

When conducting a chi-square goodness-of-fit test, how are the expected counts for each category calculated?

Which of the following best describes the possible values for a chi-square statistic in a goodness of fit test?

In a chi-square goodness of fit test, what does the null hypothesis ($H\_0$) specify about the population proportions or frequencies?

Which of the following is not a goodness-of-fit measure used in the context of the $\chi ²$ goodness-of-fit test?

Which of the following is not true of the $\chi ²$ goodness-of-fit test?

What is the primary use of the $\chi 2^{}$ goodness of fit test? Select one.