A video game developer is testing a new game on three different groups. Each group represents a different target market for the game. The developer collects scores from a random sample from each group. The results are shown below
Group A | Group B | Group C |
98 | 153 | 102 |
104 | 149 | 108 |
99 | 155 | 195 |
109 | 115 | 183 |
111 | 128 | 160 |
What is the Critical Value of F Statistics (at p-value = 10%) to test the null hypothesis that group means are jointly equal against the alternative that group means are different?
Anova: Single Factor | ||||||
SUMMARY | ||||||
Groups | Count | Sum | Average | Variance | ||
Group A | 5 | 521 | 104.2 | 33.7 | ||
Group B | 5 | 700 | 140 | 311 | ||
Group C | 5 | 748 | 149.6 | 1820.3 | ||
ANOVA | ||||||
Source of Variation | SS | df | MS | F | P-value | F crit |
Between Groups | 5724.933 | 2 | 2862.467 | 3.966467 | 0.047606 | 3.885294 |
Within Groups | 8660 | 12 | 721.6667 | |||
Total | 14384.93 | 14 |
Here F critical value=3.8852
Here P value is less than 005 so we reject H0 so there is statisticalyy significant difference between this three groups.
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