CB.Stats.VAR-8.L: Calculate the appropriate statistic for a chi-square test for homogeneity or independence.

Calculate the appropriate statistic for a chi-square test for homogeneity or independence.

Example Problems
A summer swim coach wondered whether preferred competition stroke was related to swimmer age group. They surveyed a random sample of 150 swimmers. Here are the outcomes and partial results of a chi-square test (expected counts appear below observed counts):

Chi-square test: Preferred stroke vs. age group
FreestyleBackstrokeButterflyTotal
Under 1645301590
363618
16 and older15301560
242412
Total606030150


They want to use these results to carry out a
test of independence. Assume that all conditions for inference were met.

What is the value of the test statistic for their test?
A school newspaper club wondered whether the frequency of TikTok use varied by grade level. They surveyed a random sample of 200 students. Here are the outcomes and partial results of a chi-square test (expected counts appear below observed counts):

Chi-square test: TikTok use frequency vs. grade level
9th grade10th grade11th gradeTotal
Uses daily603030120
483636
Does not use daily20303080
322424
Total806060200


They want to use these results to carry out a
test of independence. Assume that all conditions for inference were met.

What is the value of the test statistic for their test?
A coffee shop manager wondered whether customer drink choice depended on time of day. They tracked a random sample of 200 orders during one week. Here are the outcomes and partial results of a chi-square test (expected counts appear below observed counts):

Chi-square test: Time of day vs. drink choice
Hot coffeeIced coffeeTeaTotal
Morning40251580
322424
Afternoon25302580
322424
Evening1552040
161212
Total806060200


They want to use these results to carry out a
test of independence. Assume that all conditions for inference were met.

What is the value of the test statistic for their test?
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