In: Math
A researcher was interested in the effects of different study methods on learning, among a class of children. Following one of three methods, 6 students were divided into groups.
|
Method 1 (book alone) |
Method 2 (borrowing notes) |
Method 3 (taking notes) |
|
10 |
12 |
18 |
|
8 |
6 |
40 |
|
15 |
30 |
35 |
|
26 |
24 |
29 |
|
28 |
18 |
30 |
|
12 |
13 |
25 |
The one way ANOVA analysis is performed to test the hypothesis whether there is difference in means among there methods.
The null and alternative hypotheses are defined as,
Null Hypothesis: All the group means are
equal, 
Alternative Hypothesis: At least one mean differ significantly.
The test is performed in following steps,
From the data values,
| Method 1 (book alone) | Method 2 (borrowing notes) | Method 3 (taking notes) | |
| 10 | 12 | 18 | |
| 8 | 6 | 40 | |
| 15 | 30 | 35 | |
| 26 | 24 | 29 | |
| 28 | 18 | 30 | |
| 12 | 13 | 25 | |
![]() |
99 |
103 |
177 |
![]() |
16.5 | 17.167 | 29.5 |
|
|
1993 |
2149 |
5515 |
|
SD |
8.479 |
8.727 |
7.662 |
![]() |
359.5 |
380.83 |
293.5 |
| n | 6 | 6 | 6 |
Where, 'i' represent rows and 'j' represents column
The degree of freedom values are,



The sum of square values are,


Where,



The means squares are computed using the formula,


The F-statistic values is obtained using the formula,

The F-critical value
The F-critical value is obtained from F-distribution table for significance level = 0.01, numerator degree of freedom = 2 and denominator degree of freedom = 15

Conclusion,
Since,

The null hypothesis is not rejected, hence we can conclude that there is no significant difference in mean among three groups.
The ANOVA table is shown below,
| Source of Variation | SS | df | MS | F | F crit |
| Between Groups | 643.111 | 2 | 321.556 | 4.665 | 6.359 |
| Within Groups | 1033.833 | 15 | 68.922 | ||
| Total | 1676.944 | 17 |