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

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Calculate the average for the data table given below.

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The results of a recent study regarding smoking and three

types of illness are shown in the following table. We are interested in

determining whether or not illness is independent of smoking.  Calculate

Test Statistics Value.

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Calculate the quartile 1 for the data table given below.

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Part of an ANOVA table

involving eight groups for a study is shown below. Some values are hidden

intentionally. Obtain the value of F calculated.

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Before the presidential debates, the percentages of

registered voters favouring various candidates were expected to be as follows.

After the presidential debates, a random sample of 1200

voters showed that 530 favoured the Democratic candidate, 400 were in favour of

the Republican candidate, 165 were in favour of the Independent candidate, and

105 were undecided. We want to see if the proportion of voters has changed. Compute

the test statistic.

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Calculate the mode for the data table given below.

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Random samples of individuals from three

different cities were asked how much time they spent per day watching

television. The results (in minutes) for the three groups are shown below.  

At an alpha of 0.05, we wanted to test whether there was a

significant difference in the averages of the three groups. F calculated

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Let us suppose that we want a sample size 

= 30

to be drawn from a population of size 8000 divided into three strata of

size 

N1 = 4000, N2 = 2400 and N

3 = 1600.

Adopting proportional allocation, what should 

the sample sizes be

from the strata of size 

N1 = 4000?

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A sample of 25 families was taken. The objective of the study was to estimate the factors that determine the monthly expenditure on food for families. The independent variables included in the analysis were the number of members in the family (X1), the number of meals eaten outside the home (X2), and a dummy variable (X3) that equals 1 if a family member is on a diet and equals 0 if there is no family member on a diet. The following results were obtained.

 

 

Coefficients

Standard Error

Intercept

450.08

53.6

X1

  49.92

  9.6

X2

  10.12

  2.2

X3

     -.60

12.0

 

Analysis of Variance

 

 

DF

SS

MS

Regression

 

3,078.39

1,026.13

Residual (Error)

 

2,013.90

     95.90

 

Estimate the monthly expenditure on food for a family that has 6 members, eats out 5 times, and does not have any member of the family on a diet.

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The ANOVA procedure is a statistical approach for determining whether or not

0%
0%
100%
0%
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