For a hypothesis test of H0:p1 − p2 = 0 against the alternative Ha:p1 − p2 ≠ 0, the test statistic is found to be 2.2. Which of
the following statements can you make about this finding? The result is significant at both α = 0.05 and α = 0.01.
The result is significant at α = 0.05 but not at α = 0.01.
The result is significant at α = 0.01 but not at α = 0.05.
The result is not significant at either α = 0.05 or α = 0.01.
The result is inconclusive because we don't know the value of p.
What do you think it is? I will eliminate the last option "inconclusive" because from what I know of statistics, we have enough data to determine where this result is significant at. We must convert this Test Statistic into a P-Value and if the P-Value is greater than 0.01 (alpha), we say it is "significant at 0.01" and if it's also greater at 0.05 (alpha), we say it is "significant at 0.05 and 0.01" I believe. I verified as much as I could with research. We are finding "does not equal" so it is a two-proportions test" meaning that the test statistic probability must be greater than two times the z-table probability value. When z = 1.8, P(z ≠ 1.8) is 0.0359. Multiply this by two as I believe, then this p-value will be 0.0718, which leads me to believe the answer is the First Option that it is significant at 0.01 & 0.05. I ask you to submit this answer and let me know if I was correct in believing so as I would like to know if I was correct myself. Hope I helped.
<h3>★ <u>11/</u><u>3</u><u>0</u> is the right answer. ★</h3>
Step-by-step explanation:
Number of male students who got 'A' in the test is 11
Number of female students who got 'A' in the test is 19
Total students who got 'A' in the test is 30
Probability that the male student got an 'A' is P(A | male) = (Number of male students who got 'A' in the test)/(Number of total students who got 'A' in the test) = <em><u>11/</u></em><em><u>3</u></em><em><u>0</u></em>