Part 1 of 4 - Chi-Square Test for Homogeneity
8.0/ 8.0 Points
Question 1 of 20
1.0/ 1.0 Points
A Driver’s Ed program is curious if the time of year has an impact on number of car accidents in
the U.S. They assume that weather may have a significant impact on the ability of drivers to
control their vehicles. They take a random sample of 150 car accidents and record the season
each occurred in. They found that 27 occurred in the Spring, 39 in the Summer, 31 in the Fall,
and 53 in the Winter. Can it be concluded at the 0.05 level of significance that car accidents are
not equally distributed throughout the year?
Enter the test statistic - round to 2 decimal places.
Test statistic= 10.53

Feedback:
Spring
Summer Fall
Winter
Observed
Counts
27
39
31
53
Expected
Counts
150*.25 =
37.5
150*.25 =
37.5
150*.25 =
37.5
150*.25=
37.5
Test Stat =
Question 2 of 20
1.0/ 1.0 Points
Students at a high school are asked to evaluate their experience in the class at the end of each
school year. The courses are evaluated on a 1-4 scale – with 4 being the best experience
possible. In the History Department, the courses typically are evaluated at 10% 1’s, 15% 2’s,
34% 3’s, and 41% 4’s.
Mr. Goodman sets a goal to outscore these numbers. At the end of the year he takes a random
sample of his evaluations and finds 10 1’s, 13 2’s, 48 3’s, and 52 4’s. At the 0.05 level of
significance, can Mr. Goodman claim that his evaluations are significantly different than the
History Department’s?

Feedback:

1's
2's
3's
4's
Observed
Counts
10
13
48
52
Expected
Counts
123 *.10 =
12.3
123*.15 =
18.45
123*.34 =
41.82
123*.41 =
50.43
Use Excel to find the p-value
=CHISQ.TEST(Highlight Observed, Highlight Expected)
p-value > .05, Do Not Reject Ho. No, this is not significant.
Question 3 of 20
1.0/ 1.0 Points
A Driver’s Ed program is curious if the time of year has an impact on number of car accidents in
the U.S. They assume that weather may have a significant impact on the ability of drivers to
control their vehicles. They take a random sample of 150 car accidents and record the season
each occurred in. They found that 27 occurred in the Spring, 39 in the Summer, 31 in the Fall,
and 53 in the Winter.
Can it be concluded at the 0.05 level of significance that car accidents are not equally
distributed throughout the year?

Question 4 of 20

1.0/ 1.0 Points
Click to see additional instructions
An urban economist is curious if the distribution in where Oregon residents live is different
today than it was in 1990. She observes that today there are approximately 3,109 thousand
residents in NW Oregon, 902 thousand residents in SW Oregon, 244 thousand in Central
Oregon, and 102 thousand in Eastern Oregon. She knows that in 1990 the breakdown was as
follows: 72.7% NW Oregon, 20.7% SW Oregon, 4.8% Central Oregon, and 2.8% Eastern
Oregon.