Question

Question 1 2 pts

A barista at Starbucks has an hunch that there might be a gender difference in terms of preferred drinks. One morning, she decides to record the next 50 drink orders she takes from female customers and 50 drink orders from male customers. The data are listed in the table below. What are the variables being examined in this study?

Drink	Female	Male	Total count
Drip coffee	5	5	10
Hot espresso drinks	20	15	35
Cold espresso drinks	15	20	35
Iced coffee	5	10	15
Tea	5	0	5
Total count	50	50	100

Group of answer choices

Gender and drink preference

Female, Male, drink type

Female and Male

Drink type and drink count

Flag this Question

Question 2 2 pts

To answer the basrista's question, what test is most appropriate given the type of data collected?

Group of answer choices

Chi-square test for independence

Chi-square test for goodness of fit

Independent-samples t test

Paired-samples t test

Flag this Question

Question 3 1 pts

For the chosen hypothesis test, what would be the null hypothesis to be tested?

Group of answer choices

Drink preference does not depend on gender.

Drink preference depends on gender.

There is no significant difference between gender and drink preference.

There is a significant difference between gender and drink preference.

Flag this Question

Question 4 2 pts

Now we can calculate the X2 (chi-square) statistic using the data below.
Note that the two variables can be arranged two ways. The original data table below is one option, and the other option is to represent the drink type in columns and gender in rows. But the latter will make the calculation table very wide so it's less cumbersome to do it with as few column as possible. (Round the answer to 2 decimal places)

Drink	Female	Male	Total count
Drip coffee	5	5	10
Hot espresso drinks	20	15	35
Cold espresso drinks	15	20	35
Iced coffee	5	10	15
Tea	5	0	5
Total count	50	50	100

Flag this Question

Question 5 1 pts

Use the X² table to find the critical value, using α = .01. Report the exact value found from the table.

Flag this Question

Question 6 1 pts

Based on the calculated X² statistic and the critical X² value, what is the result of the hypothesis test?

Group of answer choices

Fail to reject the null hypothesis because the statistic is less extreme than the critical value.

Fail to reject the null hypothesis because the statistic is more extreme than the critical value.

Reject the null hypothesis because the statistic is more extreme than the critical value.

Reject the null hypothesis because the statistic is less extreme than the critical value.

Flag this Question

Question 7 1 pts

Based on the hypothesis test result, what is the answer to the research question?

Group of answer choices

Drink preference does not significantly depend on gender.

Drink preference significantly depends on gender.

There is no significant difference between gender and drink type.

There is a significant difference between gender and drink type.

Answer 1

Using Excel<data<megastat<chi square test<contingency table

Here is the output

Chi-square Contingency Table Test for Independence
			Female	Male	Total
	Drip coffee		5	5	10
	Hot espresso drinks		20	15	35
	Cold espresso drinks		15	20	35
	Iced coffee		5	10	15
	Tea		5	0	5
	Total		50	50	100
			8.10	chi-square
			4	df
			.0882	p-value

Question 1

Gender and drink preference

2

Chi-square test for independence

3

Drink preference does not depend on gender.

4

Chi-square =8.10

5

critical value=13.277

6

Fail to reject the null hypothesis because the statistics are less extreme than the critical value

7

Drink preference does not significantly depend on gender.

Please upvote if this helps you out. Thank You!