What value is the most useful in determining whether the groups are different? F value Group means Level of significance Levene's test Mean squares Partial eta-squared Sum of squares

MATLAB: An Introduction with Applications
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ISBN:9781119256830
Author:Amos Gilat
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What value is the most useful in determining whether the groups are different?
F value
Group means
Level of significance
Levene's test
Mean squares
Partial eta-squared
Sum of squares
Transcribed Image Text:What value is the most useful in determining whether the groups are different? F value Group means Level of significance Levene's test Mean squares Partial eta-squared Sum of squares
Descriptives
WAIS-R verbal IQ
95% Confidence Interval for
Mean
Mean
Std. Deviation
Std. Error
Lower Bound
Upper Bound
Minimum
Maximum
1
185
105.66
11.896
.875
103.94
107.39
81
138
380
107.99
12.935
.664
106.69
109.30
67
150
3
185
113.45
11.933
.877
111.72
115.18
78
146
Total
750
108.77
12.748
.465
107.85
109.68
67
150
ANOVA
WAIS-R verbal IQ
Sum of
Squares
df
Mean Square
F
Sig.
Between Groups
6072.641
2
3036.321
19.612
<.001
Within Groups
115648.057
747
154.817
Total
121720.699
749
2.
Transcribed Image Text:Descriptives WAIS-R verbal IQ 95% Confidence Interval for Mean Mean Std. Deviation Std. Error Lower Bound Upper Bound Minimum Maximum 1 185 105.66 11.896 .875 103.94 107.39 81 138 380 107.99 12.935 .664 106.69 109.30 67 150 3 185 113.45 11.933 .877 111.72 115.18 78 146 Total 750 108.77 12.748 .465 107.85 109.68 67 150 ANOVA WAIS-R verbal IQ Sum of Squares df Mean Square F Sig. Between Groups 6072.641 2 3036.321 19.612 <.001 Within Groups 115648.057 747 154.817 Total 121720.699 749 2.
Expert Solution
Step 1: Introduction

The hypothesis test is a statistical method in which one using the sample data try to check the hypothesis for the population parameter using the different statistical test available. The hypothesis test is an inference statistical tool.

The hypothesis test consist of null and alternate hypothesis and are tested to reject or fail to reject the null hypothesis. If the test statistics is in the rejection region then we reject the null hypothesis otherwise we fail to reject the null hypothesis.

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