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 evaluatingtheir 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? Alpha = .10.
yes because the p-value = 0.5523
no because the p-value = 0.5523
, yes because the p-value = 0.4798
no because the p-value = 0.4798
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A large department store is curious about what sections of thestore
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 thedepartments has changed?
Enter the p-value - round to 4 decimal places. Make sure you put a 0 in front of the decimal.
p-value= _
Answer: 0.0321
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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? Test at a 0.05
level of significance.
Enter the observed and expected counts for each category in the table below. Do Not Round.
Red Blue Green Yellow
Observed Counts
Expected Counts
___
Answer for blank # 7 (12.5 %)
directly correlated to their zodiac sign. He never selects someone to
chair a committee without first evaluatingtheir 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? Alpha = .10.
yes because the p-value = 0.5523
no because the p-value = 0.5523
, yes because the p-value = 0.4798
no because the p-value = 0.4798
View Feedback
A large department store is curious about what sections of thestore
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 thedepartments has changed?
Enter the p-value - round to 4 decimal places. Make sure you put a 0 in front of the decimal.
p-value= _
Answer: 0.0321
View Feedback
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? Test at a 0.05
level of significance.
Enter the observed and expected counts for each category in the table below. Do Not Round.
Red Blue Green Yellow
Observed Counts
Expected Counts
___
Answer for blank # 7 (12.5 %)
