15.36 Sex selection and hypothesis testing: Across all of India, there are only 933 girls for every 1000 boys (Lloyd, 2006), evidence of a bias that leads many parents to illegally select for boys or to kill their infant girls. (Note that this translates into a proportion of girls of 0.483.) In Punjab, a region of India in which residents tend to be more educated than in other regions, there are only 798 girls for every 1000 boys. Assume that you are a researcher interested in whether sex selection is more or less prevalent in educated regions of India, and that 1798 children from Punjab constitute the entire sample. (Hint: You will use the proportions from the national database for comparison.)

a. How many variables are there in this study? What are the levels of any variable you identified?

b. Which hypothesis test would be used to analyze these data? Justify your answer.

c. Conduct the six steps of hypothesis testing for this example. (Note: Be sure to use the correct proportions for the expected values, not the actual numbers for the population.)

d. Report the statistics as you would in a journal article.