if power is 90%, this implies that you have: -a 90% chance of making a type 1 error - a 90% chance of making a type 2 error - a 90% chance of finding significance given a real effect -a 10% chance of making the correct decision

Español A decade-old study found that the proportion, p, of high school seniors who believed that "getting rich" was an important personal goal was 80%. A researcher decides to test whether or not that percentage still stands. He finds that, among the 240 high school seniors in his random sample, 185 believe that "getting rich" is an important goal. Can he conclude, at the 0.10 level of significance, that the proportion has indeed changed? Perform a two-tailed test. Then complete the parts below. SEE Carry your intermediate computations to three or more decimal places. (If necessary, consult a list of formulas.) 00 (a) State the null hypothesis H, and the alternative hypothesis H,. H, :0 H :0 (b) Determine the type of test statistic to use. O=0 OSO O20 (Choose one) (c) Find the value of the test statistic. (Round to three or more decimal places.) O

Spam: A researcher reported that 71.8% of all email sent in a recent month was spam. A system manager at a large corporation believes that the percentage at his company may be 70%. He examines a random sample of 500 emails received at an email server, and finds that 374 of the messages are spam. Can you conclude that the percentage of emails that are spam is greater than 70% ? Use both a=0.10 and a=0.01 levels of significance and the P-value method with the TI-84 Plus calculator. Part: 0/ 4 Part 1 of 4 State the appropriate null and alterņate hypotheses. do O