Reference no: EM132581119
A system manager believes that the percentage at his company of spam email may be 80%. He examines a random sample of 500 emails received at an email server, and finds that 382 of the messages are spam. Is this good evidence that the percent of spam at his company may be lower?
1. What are the null and alternative hypothesis?
2. What kind of test are you going to do in your calculator?
3. What is the test statistic?
4. What is the P-value?
5. At the 1% significance level, what is the conclusion? Interpret your conclusion in regards to the problem.
6. At the 5% significance level, what is the conclusion? Interpret your conclusion in regards to the problem.
7. What is P^?
8. Construct a 90% confidence interval based on .
9. Does this support your answer for #6?
10. Suppose that the system manager miscounted his spam emails. There were really 400 spam emails. What kind of error is this - Type I or Type II?
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