Complete
the ANOVA table. k = 3, N = 12.
Source |
SS |
df |
MS |
F |
Between |
13 |
F = 6.50 |
||
Within |
||||
Total |
44 |
Assume an alpha α = .05, is this ANOVA significant?
What is the Sum of Squares |
Answer 1 |
What is the Sum of Squares Within? |
Answer 2 |
What is the degress of freedom |
Answer 3 |
What is the degrees of freedom |
Answer 4 |
What is the degrees of freedom |
Answer 5 |
What is the Mean Square Within? |
Answer 6 |
To determine if this ANOVA is |
Answer 7 |
Is this ANOVA significant? |
Answer 8 |
1.
Complete
the ANOVA table. k = 4, N = 24.
Source |
SS |
df |
MS |
F |
Between |
F = |
|||
Within |
2 |
|||
Total |
58 |
Assume an alpha α = .01, is this ANOVA significant?
What is the Sum of Squares |
Answer 1 |
What is the Sum of Squares Within? |
Answer 2 |
What is the degrees of freedom |
Answer 3 |
What is the degrees of freedom |
Answer 4 |
What is the degrees of freedom |
Answer 5 |
What is the Mean Square Between? |
Answer 6 |
What is the calculated F-ratio for |
Answer 7 |
To determine if this ANOVA is |
Answer 8 |
Is this ANOVA significant? |
Answer 9 |
1. Take the following
information and compute the Tukey’s HSD that would be used for a post-hoc
comparison. Assume an alpha α = .01.
Source |
SS |
df |
MS |
F |
Between |
32 |
3 |
10.67 |
F = 14.23 |
Within |
12 |
16 |
0.75 |
|
Total |
44 |
19 |
What is the “q” from |
Answer 1 |
What is the HSD computed from this |
Answer 2 |
1. Take the following
information and compute the Tukey’s HSD and determine where the mean
differences are between the treatments. Assume an alpha α = .01
Source |
SS |
df |
MS |
F |
Between |
48 |
2 |
24 |
F = 35.82 |
Within |
16 |
24 |
0.67 |
|
Total |
64 |
26 |
M1
= 6 M2
= 5 M3
= 3
HSD = |
M1 – M2 |
M1 – M3 |
M2 – M3 |
Which ones are
significantly different?
What is the “q” value |
Answer 1 |
What is the calculated HSD for this |
Answer 2 |
What is the mean difference |
Answer 3 |
What is the mean difference |
Answer 4 |
What is the mean difference |
Answer 5 |
Which groups are significantly |
Answer 6 |
The
severity of a head injury in a car crash was recorded by “car type.” The car types analyzed in this scenario are:
Subcompact, Compact, Midsize and Full-size.
Based on a single-factor ANOVA,
are there significant differences between the groups? If appropriate, calculate Tukey’s HSD. Use
alpha = .05. The analysis is as follows:
Descriptive Data |
||||||
Groups |
n |
Sum |
Mean |
Standard Deviation |
||
Subcompact |
5 |
3344 |
668.8 |
241.95 |
||
Compact |
5 |
2779 |
555.8 |
90.95 |
||
Midsize |
5 |
2434 |
486.8 |
167.67 |
||
Full-size |
5 |
2689 |
537.8 |
154.61 |
||
ANOVA SUMMARY TABLE |
||||||
Source of Variation |
SS |
df |
MS |
F |
||
Between Groups |
88425 |
3 |
29475 |
0.992167 |
||
Within Groups |
475323.2 |
16 |
29707.7 |
|||
Total |
563748.2 |
19 |
Is this ANOVA
significant?__________________________________________
Do you need to perform a Tukey’s HSD?
Write a Complete Decision Statement in the following
Essay question – interpret the results using APA format!!!
Is this ANOVA significant? |
Answer 1 |
Do you perform a Tukey’s HSD in |
Answer 2 |
Using the information from the first ANOVA table
scenario(severity of head injory recorded by “car type”), please
provide a complete decision statement utilizing APA format that has been
demonstrated in the videos on Moodle and in the support documents.
Format
A
study was conducted to investigate the effects of exercise on stress. Data,
systolic blood pressure readings (in mmHg) of subjects, was collected from
males based on the following age subgroups: 60 and older, 59 to 45, and 44 –
30. Use an ANOVA with alpha .05 to determine whether there are significant
differences in systolic blood pressure between the groups. If appropriate, calculate Tukey’s HSD
Descriptive Data |
||||||
Groups |
n |
Sum |
Mean |
Standard Deviation |
||
60 and older |
6 |
763.34 |
127.2233 |
7.21 |
||
59 to 45 |
6 |
671.66 |
111.9433 |
5.60 |
||
44 to 30 |
6 |
632.34 |
105.39 |
15.36 |
||
ANOVA SUMMARY TABLE |
||||||
Source of Variation |
SS |
df |
MS |
F |
||
Between Groups |
1506.238 |
2 |
753.119 |
7.075093 |
||
Within Groups |
1596.698 |
15 |
106.4465 |
|||
Total |
3102.936 |
17 |
Is this ANOVA significant?
Be prepared to provide
written results statements in APA format from this data.
Is this ANOVA significant? |
Answer 1 |
Do you need to perform a Tukey’s |
Answer 2 |
If you are performing a Tukey’s |
Answer 3 |
What is the calculated Tukey’s |
Answer 4 |
What is the mean difference |
Answer 5 |
Is the mean difference between |
Answer 6 |
What is the mean difference |
Answer 7 |
Is the mean difference between |
Answer 8 |
What is the mean difference |
Answer 9 |
Is the mean difference between |
Answer 10 |
What is the “F” critical |
Answer 11 |
Provide a complete ANOVA decision statement in this essay
portion that summarizes the findings in the “effects of exercise on
stress” problem. Be sure to include all the required information.
Format
Thompson
(2012) reports the results of a study demonstrating a positive relationships
between fitness level and income for a group of gainfully employed males.
Data below is similar to the trial results. The fitness variable is
measured as 1 = Poor fitness level and 5 = Excellent fitness level. Income
is rounded to the nearest $1,000.
The data are as follows:
Fitness Level(x) |
Income(y) |
2 |
51 |
4 |
93 |
3 |
78 |
1 |
110 |
5 |
148 |
5 |
125 |
3 |
76 |
5 |
94 |
2 |
36 |
1 |
24 |
4 |
88 |
4 |
99 |
3 |
86 |
Calculate
the Pearson correlation for these data.
Assume
an alpha = .05 and two tails. Is this correlation significant?
Use this information to
provide the APA format decision statement in the following essay type question.
What is the calculated correlation |
Answer 1 |
Assuming an alpha of .05 and two |
Answer 2 |
Are these two variables |
Answer 3 |
Using the information from the Correlation problem,
please provide results in APA format as demonstrated in your text on p. 530.
Format