11. [-/4.08 Points] DETAILS BBUNDERSTAT 12 8.5.013.MI.S. MY NOTES ASK YOUR TEACHER For one binomial experiment, n, = 75 binomial trials produced / = 30 successes. For a second independent binomial experiment, n, = 100 binomial trials produced ry - 50 successes. At the 5% level of significance, test the claim that the probabilities of success for the two binomial experiments differ LO USE SALT (a) Compute the pooled probability of success for the two experiments. (Round your answer to three decimal places.) (b) Check Requirements: What distribution does the sample test statistic follow? Explain. O The Student's t. The number of trials is sufficiently large. O The standard normal. We assume the population distributions are approximately O The standard normal. The number of trials is sufficiently large The Student's t. We assume the population distributions are approximately norm (c) State the hypotheses. OHg: P, P2 OH,: P1 = P2; Hj:P1 * P2 (d) Compute P1 - P2. P1 - P2 = Compute the corresponding sample distribution value. (Test the difference p] - P2. Do not use rounded values. Round your final answer to two decimal places.) (e) Find the P-value of the sample test statistic. (Round your answer to four decimal places.) (f) Conclude the test. O At the a = 0.05 level, we fall to reject the null hypothesis and conclude the data are statistically significant At the a = 0.05 level, we fail to reject the null hypothesis and conclude the data are not statistically significant. O At the a = 0.05 level, we reject the null hypothesis and conclude the data are not statistically significant. At the a = 0.05 level, we reject the null hypothesis and conclude the data are statistically significant. (9) Interpret the results. O Fail to reject the null hypothesis, there is sufficient evidence that the proportion of the probabilities of success for the two binomial experiments differ. Reject the null hypothesis, there is insufficient evidence that the proportion of the probabilities of success for the two binomial experiments differ. Fail to reject the null hypothesis, there is insufficient evidence that the probabilities of success for the two binomial experiments differ