The quality of four brands of soft drinks (SD) are assessed by assigning scores to them.
SD1 |
SD2 |
SD3 |
SD4 |
8 |
7 |
6 |
5 |
8 |
8 |
6 |
5 |
9 |
5 |
7 |
9 |
9 |
10 |
7 |
6 |
7 |
8 |
12 |
11 |
Levene Statistic |
df1 |
df2 |
Sig. |
1.948 |
3 |
16 |
.163 |
Shapiro-Wilk |
|||
Statistic |
df |
Sig. |
|
SD1 |
.881 |
5 |
.314 |
SD2 |
.963 |
5 |
.826 |
SD3 |
.710 |
5 |
.012 |
SD4 |
.852 |
5 |
.201 |
Test whether there is a difference in the quality between the four brands.
The hypothesis being tested is:
H0: µ1 = µ2 = µ3 = µ4
Ha: At least one means is not equal
The output is:
Mean | n | Std. Dev | |||
8.2 | 5 | 0.84 | SD1 | ||
7.6 | 5 | 1.82 | SD2 | ||
7.6 | 5 | 2.51 | SD3 | ||
7.2 | 5 | 2.68 | SD4 | ||
7.7 | 20 | 1.95 | Total | ||
ANOVA table | |||||
Source | SS | df | MS | F | p-value |
Treatment | 2.55 | 3 | 0.850 | 0.19 | .8987 |
Error | 70.00 | 16 | 4.375 | ||
Total | 72.55 | 19 |
The p-value from the output is 0.8987.
Since the p-value (0.8987) is greater than the significance level (0.05), we cannot reject the null hypothesis.
Therefore, we cannot conclude that there is a difference in the quality between the four brands.
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