statistics homework 1474747 2

negotiation ethics and effective leadership 2010577 2
January 19, 2021
week 4.2
January 19, 2021

statistics homework 1474747 2

 

1.       When should you use a factorial ANOVA rather than a simple ANOVA to test the significance of the difference between the average of two or more groups?

 

2.       Create a drawing or plan for a 2 x3 experimental design that would lend itself to a factorial ANOVA.  Be sure to identify the independent and dependent variables.

 

3.       #4 Use Chapter 14 Data set 3 (below) and answer the following questions in an analysis of whether level of stress and gender has an impact on caffeine consumption (measured as cups of coffee per day).

 

a.       Is there as difference between the levels of caffeine consumption for the high-stress, low-stress, and no-stress groups?

 

b.      Is there a difference between males and females, regardless of stress group?

 

c.       Any interactions?

 

Chapter 14 Data set 3

 

severeity

treatment

Pain Score

severity

Treatment

Pain Score

1

Drug #2

5

2

Placebo

5

1

Drug #2

4

2

Placebo

6

1

Drug #2

5

2

Placebo

5

1

Drug #2

4

2

Placebo

4

1

Drug #2

3

2

Placebo

4

1

Drug #2

3

2

Placebo

6

1

Drug #2

3

2

Placebo

5

1

Drug #2

4

2

Placebo

4

1

Drug #2

5

2

Placebo

2

1

Drug #2

5

2

Placebo

1

1

Drug #2

5

2

Placebo

3

1

Drug #2

6

2

Placebo

2

1

Drug #2

6

2

Placebo

2

1

Drug #2

7

2

Placebo

3

1

Drug #2

6

2

Placebo

4

1

Drug #2

5

2

Placebo

3

1

Drug #2

7

2

Placebo

2

1

Drug #2

6

2

Placebo

2

1

Drug #2

8

2

Placebo

1

Gender

Caff_Consumption

Stress

1

5

1

1

6

3

2

7

3

1

7

2

1

5

3

1

6

  

1

8

2

1

8

2

2

9

1

2

8

1

2

9

1

2

7

2

2

4

1

2

3

1

1

0

1

2

4

2

1

5

1

2

6

2

1

2

2

1

4

3

1

5

3

2

5

3

1

4

2

1

3

2

1

7

3

2

8

2

1

8

2

1

11

1

1

2

2

1

3

1
   

 
     

 
     

 
     

 
     

 
                 

 

 

 

 

 

1.       Given the following information, Use Table B.4 in Appendix B to determine whether the correlations are significant and how you would interpret the results.

 

a.       The correlation between speed and strength for 20 women is 567.  Test these results at the .01 level using a one-tailed test.

 

b.      The correlation between the number correct on a math test and the time it takes to complete the test is -.45.  Test where the correlation is significant for 80 children at the .05 level of significance.

 

Choose either a one –or a two –tailed test and justify your choice.

 

c.       The correlation between number of friends and grade point average (GPA) for 50 adolescents is 37. Is this significant at the .05 level for a two-tailed test?

 

One Tailed Test(  DF)

0.05

0.01

Two-Tailed (df)

0.05

0.01

  

1

0.9877

0.9995

1

0.9969

0.9999

  

2

0.9

9800

2

0.95

9900

  

3

0.8054

0.9343

3

0.8783

0.9587

  

4

0.7293

0.8822

4

0.8114

0.9172

  

5

0.6694

0.832

5

0.7545

0.8745

  

6

0.6215

0.78887

6

0.7067

0.8343

  

7

0.5822

0.7498

7

0.6664

0.7977

  

8

0.5494

0.7155

8

0.6319

0.7646

  

9

0.5214

0.6851

9

0.021

0.7348

  

10

0.4973

0.6581

10

0.576

0.7079

  

11

0.4762

0.6339

11

0.5529

0.6835

  

12

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