0.5where p is the probability that a particular coin comes up heads. The plan is to toss the coin 4 timesand reject the null hypothesis if all 4 coins come up heads.(a) Determine the probability of...


2. Suppose that we wish to test<br>Ho: p = 0.5 agaisnt Ha: p> 0.5<br>where p is the probability that a particular coin comes up heads. The plan is to toss the coin 4 times<br>and reject the null hypothesis if all 4 coins come up heads.<br>(a) Determine the probability of a Type I error here. Use exact calculations with the binomial<br>distribution (i.e. do not use a large-sample z-test).<br>(b) If p = 0.75, what is the probability of making a Type II error?<br>(c) Suppose that the coin truly is unbiased (so p = 0.5) and the coin tossing experiment results in<br>three heads followed by a tail. Will you make a Type I error, a Type II error, or no error?<br>

Extracted text: 2. Suppose that we wish to test Ho: p = 0.5 agaisnt Ha: p> 0.5 where p is the probability that a particular coin comes up heads. The plan is to toss the coin 4 times and reject the null hypothesis if all 4 coins come up heads. (a) Determine the probability of a Type I error here. Use exact calculations with the binomial distribution (i.e. do not use a large-sample z-test). (b) If p = 0.75, what is the probability of making a Type II error? (c) Suppose that the coin truly is unbiased (so p = 0.5) and the coin tossing experiment results in three heads followed by a tail. Will you make a Type I error, a Type II error, or no error?

Jun 02, 2022
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