https://www.cdc.gov/nchs/data/databriefs/db230.pdf

https://www.livescience.com/53281-sleep-problems-common-single-parents-women.html

1) Convert these percentages to observed frequencies using a pen and paper. Assume that 10,000 adults are childless, 10,000 are single parents, and 15,000 are adults in two-parent families.

2) Calculate the expected frequencies using a pen and paper.

3) Conduct the appropriate hypothesis test. What is the correct decision?

Reject the null hypothesis

Fail to reject the null hypothesis

4) Are these differences really statistically significant (alpha of 0.05)?

5) How might sample size influence the results of the hypothesis test?

6) Create a research question for which it would be appropriate to use the chi-square goodness of fit test. State the null and alternative hypotheses.

7) Create a research question for which it would be appropriate to use the chi-square test of independence. State the null and alternative hypotheses.

8) What are the limitations and weaknesses of the chi-square test statistic?

9) What do the significant values mean in terms of the hypothesis test? Interpret the results in terms of the differences in percentages in the test of independence.

10) Describe what the expected values for the goodness of fit test really mean. Describe what the expected values for the test of independence really mean.

11) In hypothesis testing, what is the purpose of choosing an alpha level?

12) What is the purpose of the decision rule?

13) What decision is made in Step 6 of the hypothesis test where the calculated statistic is compared with the critical value?