A manager would like to know if the type of coffee product a customer buys is related to gender. The manager randomly selected 100 female and 100 male customers and recorded the product they purchased. What type of test should the manager use?

	a.	Goodness of Fit
	b.	Test of Independence
	c.	Test of Homogeneity
	d.	One proportion z-test

Suppose the manager conducted her study and found a p-value of 0.02. Based on this p-value, what would you conclude?

	a.	Fail to reject the null hypothesis since p < 0.05, conclude that there is a relationship between coffee product and gender.
	b.	Reject the null hypothesis since p < 0.05, conclude that there is a relationship between coffee product and gender.
	c.	Fail to reject the null hypothesis since p < 0.05, conclude that there is no relationship between coffee product and gender.
	d.	Reject the null hypothesis since p < 0.05, conclude that there is no relationship between coffee product and gender.

A dietician would like to know if beverage preference is related to gender. The owner randomly selected customers and then classified them gender and their beverage preference. Which type of test would should the dietician use?

	a.	Goodness of Fit
	b.	Test of Independence
	c.	Test of Homogeneity
	d.	One proportion z-test

QUESTION 4

Suppose the dietician conducted his study and found a p-value of 0.085. Based on this p-value, what would you conclude?

	a.	Fail to reject the null hypothesis since p > 0.05, conclude that there is a relationship between beverage preference and gender
	b.	Reject the null hypothesis since p > 0.05, conclude that there is a relationship between beverage preference and gender
	c.	Fail to reject the null hypothesis since p > 0.05, conclude that there is no relationship between beverage preference and gender
	d.	Reject the null hypothesis since p > 0.05, conclude that there is no relationship between beverage preference and gender

QUESTION 5

Suppose you are conducting a test of independence. What information would you need to calculate the p-value?

	a.	Study design
	b.	Observed and expected values
	c.	Number of variables
	d.	Null value