using the data below, what are the conclusions of the test?
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question
using the data below, what are the conclusions of the test?

Transcribed Image Text:Contrast Tests
Value of
Contrast
Contrast
Std. Error
df
Sig. (2-tailed)
DV
Assume equal variances
1
5.6000
1.83888
3.045
27
.005
-1.7000
1.83888
-.924
27
.363
3
-3.9000
1.83888
-2.121
27
.043
Does not assume equal
1
5.6000
2.12498
2.635
13.162
.020
variances
2
-1.7000
1.20231
-1.414
17.097
.175
3
-3.9000
2.04532
-1.907
11.699
.081
Post Hoc Tests
Multiple Comparisons
Dependent Variable: DV
Tukey HSD
Mean
Difference (I-
J)
95% Confidence Interval
(1) Group
(J) Group
Std. Error
Sig.
Lower Bound
Upper Bound
1.00
2.00
5.60000
1.83888
.014
1.0406
10.1594
3.00
3.90000
1.83888
.104
-.6594
8.4594
2.00
1.00
-5.60000
1.83888
.014
-10.1594
-1.0406
3.00
-1.70000
1.83888
.630
-6.2594
2.8594
3.00
1.00
-3.90000
1.83888
.104
-8.4594
.6594
2.00
1.70000
1.83888
.630
-2.8594
6.2594
*. The mean difference is significant at the 0.05 level.

Transcribed Image Text:Descriptives
DV
95% Confidence Interval for
Mean
N
Mean
Std. Deviation
Std. Error
Lower Bound
Upper Bound
Minimum
Maximum
1.00
10
12.6000
6.02218
1.90438
8.2920
16.9080
5.00
24.00
2.00
10
7.0000
2.98142
.94281
4.8672
9.1328
3.00
12.00
3.00
10
8.7000
2.35938
.74610
7.0122
10.3878
5.00
11.00
Total
30
9.4333
4.62887
.84511
7.7049
11.1618
3.00
24.00
ANOVA
DV
Sum of
Squares
df
Mean Square
F
Sig.
Between Groups
(Combined)
164.867
2
82.433
4.876
.016
Linear Term
Contrast
76.050
1
76.050
4.498
.043
Deviation
88.817
1
88.817
5.253
.030
Within Groups
456.500
27
16.907
Total
621.367
29
Contrast Coefficients
Group
Contrast
1.00
2.00
3.00
1
-1
2
1
-1
-1
1
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