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GMGT282-UGSEM4C-2024/25S2-Research Methods for Managers

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The degrees of freedom for

a contingency table ( ANOVA table) with 12 rows and 12 columns is

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When an analysis of

variance is performed on samples drawn from K populations, the mean square

between treatments (MSTR) is

0%
100%
0%
0%
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Last school year, the student body of a local university consisted

of 30% freshmen, 24% sophomores, 26% juniors, and 20% seniors. A sample of 300

students taken from this year's student body showed the following number of

students in each classification.

 

Freshmen

83

Sophomores

68

Juniors

85

Seniors

64

 

We are interested in determining whether or not there has been a

significant change in the classifications between the last school year and this

school year.

 

The p-value is

0%
0%
100%
0%
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Exhibit 13-2

 

Source

of Variation

Sum

of Squares

Degrees

of Freedom

Mean

Square

F

Between Treatments

2,073.6

4

 

 

Between Blocks

6,000

5

1,200

 

Error

 

20

288

 

Total

 

29

 

 

 

           Refer to Exhibit

13-2. The mean square between treatments equals

0%
0%
0%
100%
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The F ratio in a completely randomized ANOVA is the ratio of

100%
0%
0%
0%
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When individuals in a sample of 150 were asked whether or not they

supported capital punishment, the following information was obtained.

 

Do you support

capital punishment?

Number of

individuals

Yes

40

No

60

No Opinion

50

 

We are interested in determining whether or not the opinions of

the individuals (as to Yes, No, and No Opinion) are uniformly distributed.

The expected frequency for

each group is

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Exhibit 13-2

 

Source

of Variation

Sum

of Squares

Degrees

of Freedom

Mean

Square

F

Between Treatments

2,073.6

4

 

 

Between Blocks

6,000

5

1,200

 

Error

 

20

288

 

Total

 

29

 

 

 

          

          

 

Refer to Exhibit 13-2. The null hypothesis is to be tested at the 5%

level of significance. The

p-value

100%
0%
0%
0%
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When individuals in a sample of 150 were asked whether or not they

supported capital punishment, the following information was obtained.

 

Do you support

capital punishment?

Number of

individuals

Yes

40

No

60

No Opinion

50

 

We are interested in determining whether or not the opinions of

the individuals (as to Yes, No, and No Opinion) are uniformly distributed.

The conclusion of the test

(at 95% confidence) is that the

100%
0%
0%
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Jason believes that the sales of coffee at his coffee shop depend upon

the weather. He has taken a sample of 6 days. Below you are given the results

of the sample.

Cups of Coffee

Sold

Temperature

350.00

45.00

205.00

55.00

215.00

65.00

100.00

75.00

60.00

85.00

40.00

95.00

Predict sales of a 80-degree

day.

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If the coefficient of determination is a positive value, then the coefficient of correlation
100%
0%
0%
0%
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