Question 4 of 20
0.0/ 1.0 Points
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A college professor is curious if the location of a seat in class affects grades in the class.
They are teaching in a lecture hall with 240 students. The lecture hall has 10 rows, so
they split the rows into 5 sections – Rows 1-2, Rows 3-4, Rows 5-6, Rows 7-8, and Rows
9-10. At the end of the course, they determine the top 25% of grades in the class, and if
the location of the seat makes no difference, they would expect that these top 25% of
students would be equally dispersed throughout the classroom. Their observations are
recorded below. Run a Goodness of Fit test to determine whether or not location has an
impact on the grade. Let α=0.05.
Enter the expected count for each section in the table below. Enter whole numbers without any
decimals.
Rows 1-2
Rows 3-4
Rows 5-6
Rows 7-8
Rows 9-10
# in Top 25%
14
8
13
10
15
Expected Counts

60/5
Question 5 of 20
1.0/ 1.0 Points
The permanent residence of adults aged 18-25 in the U.S. was examined in a survey from the
year 2000. The survey revealed that 27% of these adults lived alone, 32% lived with a
roommate(s), and 41% lived with their parents/guardians. In 2008, during an economic recession
in the country, another such survey of 1600 people revealed that 398 lived alone, 488 lived with
a roommate(s), and 714 lived with their parents.
Is there a significant difference in where young adults lived in 2000 versus 2008 and state the p-
value? Test with a Goodness of Fit test at α=0.05.
Alon
e
Roommat
es
Parents/Guardi
ans
Observ
ed
Counts
398 488
714

Expecte
d
Counts
432 512
656
Feedback:

Use Excel to find the p-value you have the Observed and Expected Counts you can use
=CHISQ.TEST( Highlight Observed Counts, Highlight Expected Counts) = 0.011511
0.011511 < .05, Reject Ho. Yes, this is significant.
Question 6 of 20
0.0/ 1.0 Points
A large department store is curious about what sections of the store make the most sales. The
manager has data from ten years prior that show 30% of sales come from Clothing, 25% Home
Appliances, 18% Housewares, 13% Cosmetics, 12% Jewelry, and 2% Other.
In a random sample of 550 current sales, 188 came from Clothing, 153 Home Appliances,
83 Housewares, 54 Cosmetics, 61 Jewelry, and 11 Other. At α=0.10, can the manager conclude
that the distribution of sales among the departments has changed?

B.
no, because the p-value is .0006
C.
yes because the p-value = .0321
D.
no, because the p-value = .0321
Answer Key:C
Feedback:
Clothing
Home App. Housewares
Cosmetics
Jewelry
Other
Observed
Counts
188
153
83
54
61
11
Expected
Counts
550*.30 =
165
550*.25 =
137.5
550*.18 = 99
550*.13 =
71.5
550*.12 =
66
550*.02=
11
Use Excel to find the p-value
=CHISQ.TEST(Highlight Observed, Highlight Expected)
The p-value is < .10, Reject Ho. Yes, this is significant.