Consider the contingency table. Round answers to two decimal places.
Live on-campus | Live off-campus | Total | |
First-year students | 90 | 10 | 100 |
Upper-level students | 30 | 70 | 100 |
Total | 120 | 80 | 200 |
What is the expected frequency for first-year students who live on campus?
What is the value of the chi-square test statistic?
What is the critical value?
What decision do you make about the null? Type “reject” or “fail to reject” for your answer.
c1 | c2 | total | ||||
r1 | 90 | 10 | 100 | |||
r2 | 30 | 70 | 100 | |||
total | 120 | 80 | 200 | |||
Oi | 90 | 10 | 30 | 70 | ||
Ei | 60 | 40 | 60 | 40 | ||
TS | ||||||
(O--Ei)^2/Ei | 15 | 22.5 | 15 | 22.5 | 75 | |
critical value | 3.84 | |||||
p-value | 0 |
What is the expected frequency for first-year students who live on campus?
=120*100/200
=60
What is the value of the chi-square test statistic?
TS =75
What is the critical value?
df = (r-1)(c-1)=1
critical value =3.84
Decision
since TS > critical value
we reject the null hypothesis
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