Question 1 of 20
1.0/ 1.0 Points
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.
Can she conclude that the distribution in residence is different today at a 0.05 level of
significance?
A.
yes because the p-value = .0009
B.
no, because the p-value = .0009
C.
yes because the p-value = .0172
D.
no because the p-value = .0172
Answer Key:C
Feedback:
NW
Oregon
SW Oregon
Central
Oregon
Eastern
Oregon
Observed
Counts
3109
902
244
102
Expected
Counts
4357*.727
= 3167.539
4357*.207=
901.899
4357*.048=
209.136
4357*.028=
121.996
Use Excel to find the p-value
=CHISQ.TEST(Highlight Observed, Highlight Expected)
p-value is < .05, Reject Ho. Yes, this is significant.
Question 2 of 20
1.0/ 1.0 Points
Pamplona, Spain is the home of the festival of San Fermin – The Running of the Bulls. The town
is in festival mode for a week and a half every year at the beginning of July. There is a running
joke in the city, that Pamplona has a baby boom every April – 9 months after San Fermin. To test
this claim, a resident takes a random sample of 300 birthdays from native residents and finds the
following
observed counts
:
January
25
February
25
March
27
April
26
May
21
June
26
July
22
August
27
September
21
October
26
November
28
December
26
At the 0.05 level of significance, can it be concluded that births in Pamplona are not equally
distributed throughout the 12 months of the year?
Hypotheses:
H
0
: Births in Pamplona ______ equally distributed throughout the year.
H
1
: Births in Pamplona ______ equally distributed throughout the year.
Select the best fit choices that fit in the two blank spaces above.
Question 3 of 20
0.0/ 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?
Use Excel to find the p-value
