Chi-Square Test of Independence

A sample of World Campus students were surveyed. They were asked which of the following they prefer to drink: beer, water, or neither. And, their biological sex was recorded. These data are presented in the table below.

	Biological Sex
Preferred Drink	Male	Female
Beer	61	137
Wine	144	44
Neither	76	62

Question Set 2_A:

Compute the relative risk by comparing the proportion of males who prefer beer to the proportion of females who prefer beer.

Question Set 2_B:

Interpret the relative risk that you computed in Question Set 2_A.

Question Set 2_C:

Use Minitab to conduct a chi-square test of independence to determine if there is evidence of a relationship between beverage preference and biological sex in the population of all World Campus students. Use the five-step hypothesis testing procedure. For an example of how to enter the data from the table into Minitab, see 11.3.2.2 in the online notes.

https://app.minitab.com/

Step 1a: Check assumptions.

Question Set 2_C:

Step 1b: State your hypothesis.

Question Set 2_C:

Step 2: Compute the test statistic.

Question Set 2_C:

Step 3: Determine the p-value.

Question Set 2_C:

Step 4: Decide to reject or fail to reject the null hypothesis.

Question Set 2_C:

Step 5: State a real-world conclusion.