Statistical data
The factors that determine power are Replicants, Experimental noise (random variation) Experimental design (the various aspects, but a simpler design has more power), P-Value cutoff (usually P = 0.05), and How strong the treatment effect is (how big the difference is between treatment and control mean; stronger effect = more power). The power of our experiment is 84.2% (842 successful/1000 total). The probability that we get valid results is 0.842. The probability that we don’t get these results is 1 minus the power of design; 1-0.842=0.158, a 15.8% chance that water temperature doesn’t affect mating behavior. This would be a Type II error because a Type II error is the probability of falsely concluding there is no effect of treatments, when there really is a treatment effect. The probability that we would incorrectly conclude that water treatment did have an effect would be 0.05, since this is the cutoff for a significant alpha value. Since we would be rejecting a true null hypothesis, this would be a Type I error.
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