Analyze these data using a factorial analysis of variance

Assignment Help Applied Statistics

Reference no: EM133589678 , Length: 3 pages

Question 1. A sports psychologist gave a questionnaire about healthy eating habits to randomly selected professional athletes. The results are displayed below. Using the .05 significance level, is there a difference in healthy eating habits among professionals in the three sports?

Baseball Players	Basketball Players	Football Players
32	27	27
27	36	23
26	25	26
35	30	20

a. Make a graph for the data set.

b. Use the five steps of hypothesis testing (report results in APA format).

c. Figure the effect size of this study.

d. Conduct a planned contrast for Baseball versus Football players (using Tukey's HSD).

Question 2. A researcher is interested in the effects of sleep deprivation and caffeine intake on mood. Participants were randomly assigned to a sleep condition (normal or deprived) and a caffeine condition (zero cups, two cups, or four cups). After the manipulations, mood was measured (such that higher numbers indicated better mood). The results were as follows:

Normal Condition                                           Deprived Condition
0 cups 2 cups 4 cups                                         0 cups 2
cups 4 cups
16 18 18                                                              0 5 6

17	20	17	6	4	8
20	¹0	17	3	4	6
19	19	17	2	2	7
18	18	16	4	5	8

Analyze these data using a factorial analysis of variance and including R2 for each effect.

Question 3. A researcher was interested in whether college (WA (X) would predict starting salary after college (Y). (For simplicity, salary was converted to a 100-point scale.) The following are participants' scores:

X Y

2.25 55

1.75 23

3.25 80

3.75 42

M = 2.75 M = 50

a. Report the correlation and linear prediction equation.

b. Make a graph with the regression line.

C. Figure the standardized regression coefficient.

Question 4. An advertising firm wanting to target people with strong desires for success conducted a study to sec if such people differed in the types of television shows they watched. Randomly selected participants recorded the shows they watched for a week, then their desire for success was assessed, and finally they were divided into two groups. Low success seekers watched eight comedies, 15 romances, six documentaries, 13 dramas, and three news shows. High success seekers watched three comedies, three romances, nine documentaries, seven dramas. and eight news shows. Using the .05 significance level, is the distribution of type of shows watched different for participants having high and low desires for success?

a. Use the five steps of hypothesis testing.
b. Figure a measure of effect size and indicate whether it's small, medium, or large.

Reference no: EM133589678

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