In: Statistics and Probability
2-Way ANOVA
A researcher was interested in the impact that gender and temperature have on participants’ responses on a memory task. The researcher randomly-selected 20 participants to take part in the experiment: 10 of the participants were male and 10 of the participants were female. The participants from each gender group were then randomly assigned to complete the memory task (scores 1-100) either in a cold room or in a warm room.
Participant | Score | Temp |
M1 | 64 | cold |
M2 | 68 | warm |
M3 | 23 | cold |
M4 | 76 | cold |
M5 | 34 | warm |
M6 | 54 | warm |
M7 | 45 | cold |
M8 | 78 | cold |
M9 | 45 | warm |
M10 | 78 | warm |
F1 | 45 | warm |
F2 | 56 | cold |
F3 | 34 | warm |
F4 | 78 | cold |
F5 | 98 | warm |
F6 | 67 | warm |
F7 | 43 | cold |
F8 | 35 | cold |
F9 | 67 | warm |
F10 | 38 | cold |
Anova: Two-Factor With Replication | ||||||
SUMMARY | male | female | Total | |||
cold | ||||||
Count | 5 | 5 | 10 | |||
Sum | 286 | 250 | 536 | |||
Average | 57.2 | 50 | 53.6 | |||
Variance | 537.7 | 309.5 | 390.9333 | |||
warm | ||||||
Count | 5 | 5 | 10 | |||
Sum | 279 | 311 | 590 | |||
Average | 55.8 | 62.2 | 59 | |||
Variance | 309.2 | 604.7 | 417.5556 | |||
Total | ||||||
Count | 10 | 10 | ||||
Sum | 565 | 561 | ||||
Average | 56.5 | 56.1 | ||||
Variance | 376.9444 | 447.6556 | ||||
ANOVA | ||||||
Source of Variation | SS | df | MS | F | P-value | F crit |
temp | 145.8 | 1 | 145.8 | 0.331157 | 0.572984 | 4.493998 |
gender | 0.8 | 1 | 0.8 | 0.001817 | 0.966526 | 4.493998 |
Interaction | 231.2 | 1 | 231.2 | 0.525126 | 0.479127 | 4.493998 |
Within | 7044.4 | 16 | 440.275 | |||
Total | 7422.2 | 19 |
pa vlue for temp = 0.57
p avlue > 0.05 , not significant
so, does not have significant effect
..............
p avlue for gender = 0.9665
p value > 0.05, not significant
so, does not have sifnificant effect
.......................
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