Below are a hypothetical (separate) set of data. The experimenter is interested in the number of errors made by rats in a maze as a function of the kind of reward. Group 1 receives 100% water reward, group 2 receives a solution of 50% water and 50% sugar as the reward; and group 3 receives 100% sugar reward. Perform appropriate analyses to test if the type of reward affects the number of errors; if so, how.
Group |
1 |
2 |
3 |
1 |
8 |
6 |
|
3 |
7 |
5 |
|
2 |
5 |
3 |
|
1 |
4 |
3 |
|
3 |
6 |
3 |
We use the Excel Data Analysis Tool for ANOVA single factor with repetition
The null and alternative hypotheses are
:
Ho : There is no difference in the number of errors for
different types of
rewards
Ha : There is a difference in the number of errors for different
types of rewards
ANOVA Table
Source of Variation | SS | df | MS | F | P-value | F crit |
Between Groups | 40 | 2 | 20 | 10.909 | 0.0019961 | 3.885 |
Within Groups | 22 | 12 | 1.83333 | |||
Total | 62 | 14 |
Test statistic F = 10.909
p-value = 0.0019961
α = 0.05
0.0019961 < 0.05
that is, p-value < 0.05
Hence, we Reject Ho
Conclusion :
At 5% level of significance, there is enough statistical
evidence to show that
there is a difference in the number of errors for different types
of rewards
In other words, the type of reward affects the number of
errors
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