To test whether or not there is a difference between treatments A, B, and C, a sample of 12 observations has been randomly assigned to the 3 treatments. You are given the results below.
Treatment |
Observation |
|||
A |
20 |
30 |
25 |
33 |
B |
22 |
26 |
20 |
28 |
C |
40 |
30 |
28 |
22 |
The test statistic to test the null hypothesis equals:
excel data analysis tool for one factor anova,steps are: write
data>menu>data>data analysis>anova :one factor>enter
required labels>ok, and following o/p Is obtained,
Anova: Single Factor | ||||||
SUMMARY | ||||||
Groups | Count | Sum | Average | Variance | ||
A | 4 | 108 | 27 | 32.66667 | ||
B | 4 | 96 | 24 | 13.33333 | ||
C | 4 | 120 | 30.00 | 56.00 | ||
ANOVA | ||||||
Source of Variation | SS | df | MS | F | P-value | F crit |
Between Groups | 72.00 | 2 | 36.0000 | 1.0588 | 0.386 | 4.26 |
Within Groups | 306.00 | 9 | 34.000 | |||
Total | 378.00 | 11 |
Ho: µA=µB=µC
H1: not all means are equal
F stat = 1.0588
so,
The test statistic to test the null hypothesis equals: = 1.0588
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