Does the rate of voter turnout vary significantly by the type of election? A e of voting precincts displays the following pattern of voter turnout by Assess the results for significance.

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Analysis of Variance 

Use the graph attached below. In this assignment we are interpreting statistics. 

Questions for each graph: 

1.) ANOVA: Is the overall test significant? 

2.)Multiple Comparisons: To know which group are different from another, we need to examine the results from the post hoc test analysis? 

3.)Discriptives: Discuss final results using APA format.  In addition to referring to information from the previous two tables, you will need to incorporate information from the third table

Analysis of Variance Using SPSS
Problem 10.6. Does the rate of voter turnout vary significantly by the type of election? A
random sample of voting precincts displays the following pattern of voter turnout by
election type. Assess the results for significance.
1.) ANOVA: Is the overall test significant?
ANOVA
turnout
Sum of Squares
df
Mean Square
Si.
Between Groups
3342.889
2
1671.444
7.592
.002
Within Groups
7265.417
33
220.164
Total
10608.306
35
Multiple Comparisons
2.) Multiple Comparisons: To know which group are different from another, we need to
examine the results from the post hoc test analysis?
Dependent Variable: turnout
LSD
Mean Difference
95% Confidence Interval
(1) electure,
(J) electure,
(I-J)
Std. Error
Sig.
Lower Bound
Upper Bound
local only
state
-9.83333
6.05756
.114
-22.1575
2.4909
national
-23.50000*
6.05756
.000
-35.8242
-11.1758
state
local only
9.83333
6.05756
.114
-2.4909
22.1575
national
-13.66667
6.05756
.031
-25.9909
-1.3425
national
local only
23.50000*
6.05756
.000
11.1758
35.8242
state
13.66667
6.05756
.031
1.3425
25.9909
*. The mean difference is significant at the 0.05 level.
Transcribed Image Text:Analysis of Variance Using SPSS Problem 10.6. Does the rate of voter turnout vary significantly by the type of election? A random sample of voting precincts displays the following pattern of voter turnout by election type. Assess the results for significance. 1.) ANOVA: Is the overall test significant? ANOVA turnout Sum of Squares df Mean Square Si. Between Groups 3342.889 2 1671.444 7.592 .002 Within Groups 7265.417 33 220.164 Total 10608.306 35 Multiple Comparisons 2.) Multiple Comparisons: To know which group are different from another, we need to examine the results from the post hoc test analysis? Dependent Variable: turnout LSD Mean Difference 95% Confidence Interval (1) electure, (J) electure, (I-J) Std. Error Sig. Lower Bound Upper Bound local only state -9.83333 6.05756 .114 -22.1575 2.4909 national -23.50000* 6.05756 .000 -35.8242 -11.1758 state local only 9.83333 6.05756 .114 -2.4909 22.1575 national -13.66667 6.05756 .031 -25.9909 -1.3425 national local only 23.50000* 6.05756 .000 11.1758 35.8242 state 13.66667 6.05756 .031 1.3425 25.9909 *. The mean difference is significant at the 0.05 level.
Descriptive
3.) Discriptives: Discuss final results using APA format. In addition to referring to
information from the previous two tables, you will need to incorporate information
from the third table
turnout
95% Confidence Interval for
St.
Mean
Mean
Deviation
Std. Error Lower Bound
Upper Bound Minimum
Maximum
local only
12
36.7500
19.08414
5.50912
24.6245
48.8755
10.00
78.00
state
12
46.5833
11.93511
3.44537
39.0001
54.1665
25.00
65.00
national
12
60.2500
12.40326
3.58051
52.3693
68.1307
40.00
78.00
Total
36
47.8611
17.40961
2.90160
41.9705
53.7517
10.00
78.00
Transcribed Image Text:Descriptive 3.) Discriptives: Discuss final results using APA format. In addition to referring to information from the previous two tables, you will need to incorporate information from the third table turnout 95% Confidence Interval for St. Mean Mean Deviation Std. Error Lower Bound Upper Bound Minimum Maximum local only 12 36.7500 19.08414 5.50912 24.6245 48.8755 10.00 78.00 state 12 46.5833 11.93511 3.44537 39.0001 54.1665 25.00 65.00 national 12 60.2500 12.40326 3.58051 52.3693 68.1307 40.00 78.00 Total 36 47.8611 17.40961 2.90160 41.9705 53.7517 10.00 78.00
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