In: Statistics and Probability
Researchers want to know if there are significant differences in life satisfaction based on college students' overall financial status. In a Word document go thru the 5 steps for hypothesis testing and upload your answer here.
life satisfaction | financial status |
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financial status: 1=over extended, 2=making ends meet, 3=comfortable |
One-way ANOVA: life satisfaction versus financial status
Method
Null hypothesis
All means are equal
Alternative hypothesis At least one mean is different
Significance level α = 0.05
Equal variances were assumed for the analysis.
Factor Information
Factor
Levels Values
financial status 3 1, 2, 3
Analysis of Variance
Source
DF Adj SS Adj MS F-Value P-Value
financial status 2 368.4
184.18 6.91
0.001
Error
179 4771.9 26.66
Total
181 5140.3
Model Summary
S R-sq R-sq(adj)
R-sq(pred)
5.16322 7.17%
6.13% 4.21%
Means
financial
status N Mean
StDev 95% CI
1
22 22.41 4.70 ( 20.24, 24.58)
2 90 25.744
5.713 (24.670, 26.818)
3 70 27.086
4.510 (25.868, 28.303)
Pooled StDev = 5.16322
F = 6.91
p-value= 0.001 < 0.05
hence we reject the null hypothesis
we conclude that there is difference in life satisfaction between different financial status