In: Statistics and Probability
A researcher is interested to learn if there is a relationship between the level of interaction a women in her 20s has with her mother and her life satisfaction ranking. Below is a list of women who fit into each of four level of interaction. Conduct a One-Way ANOVA on the data to determine if a relationship exists.
No Interaction |
Low Interaction |
Moderate Interaction |
High Interaction |
2 |
3 |
3 |
9 |
4 |
3 |
10 |
10 |
4 |
5 |
2 |
8 |
4 |
1 |
1 |
5 |
7 |
2 |
2 |
8 |
8 |
2 |
3 |
4 |
1 |
7 |
10 |
9 |
1 |
8 |
8 |
4 |
8 |
6 |
4 |
1 |
4 |
5 |
3 |
8 |
Here is the ANOVA report performed in Excel
ANOVA - Single Factor | ||||||
Alpha | 0.05 | |||||
Groups | Count | Sum | Mean | Variance | ||
Column 1 | 10 | 43 | 4.3 | 6.9 | ||
Column 2 | 10 | 42 | 4.2 | 5.5111111111 | ||
Column 3 | 10 | 46 | 4.6 | 11.6 | ||
Column 4 | 10 | 66 | 6.6 | 8.4888888889 | ||
Source of Variation | SS | df | MS | F | P-value | F critical |
Between Groups | 38.275 | 3 | 12.7583333333 | 1.5702564103 | 0.2134340383 | 2.8662655509 |
Within Groups | 292.5 | 36 | 8.125 | |||
Total |
Err:508 | 39 |
According this ANOVA, since p-value = 0.21 which is less than alpha=0.05, hence the differences between the means is not significantly different. Hence we do not have enough evidence to reject the null- hypothesis.