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I flip a coin 20 times. Consider the null hypothesis that the coin is fair versus the alternative that it's more likely to be heads (one sided test). What number of heads or more would I have to get to control the Type I error rate at 5%?
Refer to the previous question. If you performed the experiment and got 13 heads, what is the P-value?
Two sets of insects were randomized to spray A or B. The count of the insects is the outcome (low count = better). Below is a histogram of the absolute difference in means for 1,000 permutations of the spray labels. A red line denotes the observed difference. What is the P-value in this case (check all that apply)?
The proportion of simulated absolute differences above the red line
The proportion of simulated absolute differences below the red line
Twice the proportion of absolute differences above the red line
Twice the proportion of absolute differences below the red line
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