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Business
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Jan 9, 2024
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stion 1
1 / 1 p
A college prep school advertises that their students are more prepared to succeed in college than other schools. To verify this, they categorize GPA's into 4 groups and look up the proportion of students at a state college in each category. They find that 7% have a 0-0.99, 21% have a 1-1.99, 37% have a 2-2.99, and 35% have a 3-4.00 in GPA.
They then take a random sample of 200 of their graduates at the state college and find that 19 has a 0-0.99, 28 have a 1-
1.99, 82 have a 2-2.99, and 71 have a 3-4.00.
Can they conclude that the grades of their graduates are distributed differently than the general population at the school? Test at the 0.05 level of significance.
Enter the test statistic - round to 4 decimal places.
Test statistic:___
___
Answer:
7.3315
Hide question 1 feedback
0-0.99
1-1.99
2-2.99
3-4.00
Observed Counts
19
28
82
71
Expected Counts
=200*0.07 =14
=200*.21
= 42
=200*.37
= 74
=200*.35
= 70
Test Stat = (19−14)214+(28−42)242+(82−74)274+(71−70)270
Test Stat = 7.331532
n 2
1
A company manager believes that a person's ability to be a leader is directly correlated to their zodiac sign. He never selects someone to chair a committee without first evaluating their zodiac sign. An irate employee sets out to prove her manager wrong. She claims that if zodiac sign truly makes a difference in leadership, then a random sample of 210 CEO's in our country would reveal a difference in zodiac sign distribution. She finds the following zodiac signs for her random sample of 210 CEO's:
Births
Signs
25
Aries
13
Taurus
17
Gemini
21
Cancer
16
Leo
18
Virgo
15
Libra
16
Scorpio
20
Sagittarius
11
Capricorn
23
Aquarius
15
Pisces
Can she conclude that zodiac sign makes a difference in whether or not a person makes a good
leader?
Enter the
p
-value - round to 4 decimal places. Make sure you put the 0 in front of the decimal.
p
-value = ___
___
Answer:
0.4798
Hide question 2 feedback
The Expected Count is all the same value. 210*(1/12) = 17.5
Births
Signs
Expected Count
25
Aries
17.5
13
Taurus
17.5
17
Gemini
17.5
21
Cancer
17.5
16
Leo
17.5
18
Virgo
17.5
15
Libra
17.5
16
Scorpio
17.5
20
Sagittariu
s
17.5
11
Capricorn
17.5
23
Aquarius
17.5
15
Pisces
17.5
Use Excel to find the p-value
=CHISQ.TEST(Highlight Observed, Highlight Expected)
n 3
1 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?
Enter the test statistic - round to 4 decimal places.
Test statistic =___
___
Answer:
12.2012
Hide question 3 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
Test Stat = (188−165)2165+(153−137.5)2137.5+(83−99)299+(54−71.5)271.5+(61−66)266+(11−11)211
n 4
1 A company that develops over-the-counter medicines is working on a new product that is meant to shorten the length of sore throats. To test their product for effectiveness, they take a random sample of 110 people and record how long it took for their symptoms to completely disappear. The results are in the table below. The company knows that on average (without medication) it takes a sore throat 6 days or less to heal 42% of the time, 7-9 days 31% of the time, 10-12 days 16% of the time, and 13 days or more 11% of the time.
Can it be concluded at the 0.01 level of significance that the patients who took the medicine healed at a different rate than these percentages? After running a Goodness of Fit test, can it
be concluded that there is a statistically significant difference in duration of a sore throat for those that took the medicine and what is the p-value?
6 days or less
7-9 days
10-12 days
13 or more days
Duration of
Sore Throat
49
40
12
9
Expected
Counts
46.2
34.1
17.6
12.1
Yes, the p-value = 0.287801
No, the p-value = 0.712199
Yes, the p-value = 0.712199
No, the p-value = 0.287801
Hide question 4 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) = 0.287801
0.287801 > .01, Do Not Reject Ho. No, this is not significant.
n 5
1 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=___
___
Answer:
10.53
Hide question 5 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 = (27−37.5)237.5+(39−37.5)237.5+(31−37.5)237.5+(53−37.5)237.5
n 6
1 A color code personality test categorizes people into four colors – Red (Power), Blue (Intimacy), Green (Peace), and Yellow (Fun). In general, 25% of people are Red, 35% Blue, 20% Green, and 20% Yellow. An art class of 45 students is tested at a university and 7 are found to be Red, 18 Blue, 9 Green, and 11 Yellow.
Can it be concluded that personality type has an impact on students' areas of interest and talents, such as artistic
students and state the p-value? Test at a 0.05 level of significance.
Red
Blue
Green
Yellow
Observed
Counts
7
18
9
11
Expected
Counts
11.25
15.75
9
9
Yes, the p-value = 0.501025
No, the p-value = 0.501025
No, the p-value = 0.498975
Yes, the p-value = 0.498975
Hide question 6 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) = 0.498975
0.498975 > .05, Do Not Reject Ho. No, this is not significant.
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) = 0.498975
0.498975 > .05, Do Not Reject Ho. No, this is not significant.
n 7
1 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
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