10.In a study of the effects of stress on illness, a researcher tallied the numberof colds people contractedduring a 6-month period as a function of the amount of stress they reportedduring...

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10. In a study of the effects of stress on illness, a researcher tallied the number of colds people


contracted during a 6-month period as a function of the amount of stress they reported during


that same time period. There were three stress levels: minimal, moderate, and high stress. The


sums of squares appear in the following ANOVA summary table. The mean for each condition and the number of subjects per condition are also noted.


Source df SS MS F


Between groups 22.167


Within groups 14.750


Total 36.917


Stress Level Mean N


Minimal 3 4


Moderate 4 4


High 6 4


a.Complete the ANOVA summary table.


b.Is Fobt significant at a = .05; at a = .01?


c.Perform post hoc comparisons if necessary.


d.What conclusions can be drawn from the F-ratio and the post hoc comparisons?


e.What is the effect size, and what does this mean?


f.Graph the means.


12. A researcher conducted an experiment on the effects of a new “drug” on depression. The


researcher had a control group that received nothing, a placebo group, and an experimental


group that received the “drug.” A depression inventory that provided a measure of depression


on a 50-point scale was used (50 indicates that an individual is very high on the depression vari-


able). The ANOVA summary table appears next, along with the mean depression score for each


condition.


Source df SS MS F


Between groups1,202.313


Within groups 2,118.00


Total 3,320.313


“Drug” Condition Mean n


Control 36.26 15


Placebo 33.33 15


“Drug” 24.13 15


a.Complete the ANOVA summary table.


b.Is Fobt significant at a = .05; at a = .01?


c.Perform post hoc comparisons if necessary.


d.What conclusions can be drawn from the


F-ratio and the post hoc comparisons?


e.What is the effect size, and what does this mean?


f.Graph the means.


14. A researcher has been hired by a pizzeria to determine which type of crust customers prefer.


The restaurant offers three types of crust: hand-tossed, thick, and thin. Following are the mean number of 1-inch pieces of pizza eaten for each condition from 10 subjects who had the oppor-


tunity to eat as many pieces with each type of crust as they desired. The ANOVA summary table also follows.


Source dfSS MS F


Subject 2.75


Between180.05


Error 21.65


Total 204.45


Crust Type Mean n


Hand-tossed 2.73 10


Thick 4.20 10


Thin 8.50 10


a.Complete the ANOVA summary table.


b.Is Fobt significant at a = .05; at a = .01?


c.Perform post hoc comparisons if necessary.


d.What conclusions can be drawn from the F-ratio and the post hoc comparisons?


e.What is the effect size, and what does this mean?


f.Graph the means.



Answered Same DayDec 23, 2021

Answer To: 10.In a study of the effects of stress on illness, a researcher tallied the numberof colds people...

Robert answered on Dec 23 2021
117 Votes
10. In a study of the effects of stress on illness, a researcher tallied the number of colds people
contracted during a 6-month period as a function of the amount of stress they repo
rted during
that same time period. There were three stress levels: minimal, moderate, and high stress. The
sums of squares appear in the following ANOVA summary table. The mean for each condition and the number of subjects per condition are also noted.
Source df SS MS F
Between groups 22.167
Within groups 14.750
Total 36.917
Stress Level Mean N
Minimal 3 4
Moderate 4 4
High 6 4
a. Complete the ANOVA summary table.
b. Is Fobt significant at a = .05; at a = .01?
c. Perform post hoc comparisons if necessary.
d. What conclusions can be drawn from the F-ratio and the post hoc comparisons?
e. What is the effect size, and what does this mean?
f. Graph the means.
Solution 10:
a)
ANOVA table
    Source
    df
    SS
    MS
    F
    Between
    2
    22.167
    11.0835
    6.76
    Within
    9
    14.750
    1.6389
    
    Total
    11
    36.917
    
    
b) Using F-tables, the p-value is
P [F (2, 9) > 6.76] = 0.016
Since p-value is less than 0.05, we have sufficient evidence to reject the null hypothesis.
We can conclude that it is statistically significant.
c) Post hoc comparisons
Using Tukey’s HSD formula
HSD (0.05) = Q (k, df (error)) √MS (error)/n
= Q (3, 9) √1.6389/4
= 3.95 x 0.64
= 2.528
    
    Difference between means
    Minimal and Moderate
    4 – 3 = 1
    Moderate and high
    6 – 4 = 2
    High and minimal
    6 – 3 = 3
d) The p-value of the F-ratio tells us that the model is statistical significance. Post hoc comparison tells us that pair of high and minimal are statistical significant.
e) To compute effect size, we have
Eta-squared = SS (between)/ SS (total)
=...
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