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- I am confused when to use BinomPDF vs. BinomCDF; Find the probability that 17 or more of these 44 randomly-selected burials are babies. I know that from the probability is 13/51, I gathered this from the larger sample of data, however I do not know how to compute "or more"/"or fewer".At ABC College it is estimated that at most 10% of the students use public transportation to the college. Does it seem to be a valid estimate if, in a random sample of 120 students, 25 students use public transportation. (Use α = .01)Consider a binomial experiment with 5 trials and p 0.33. Find var (2). Select one: O a. 1.11 o b. 1.12 O C. 1.09 O d. 1.07
- Suppose that 70% of Americans support the death penalty for persons convicted of murder. Let p> (p hat) be the sample proportion of proportion of people who support the death penalty in an SRS of Americans. Suppose we set our sample size to be n=84. What is the probability of choosing an SRS in which between 65% and 73% of the people in the people in the sample support the death penalty? That is, find P(0.65<p(phat)<0.73). Show your work and box your answer.The manufacturer of a new racecar engine claims that the proportion of engine failures due to overheating for this new engine, (p1), will be no higher than the proportion of engine failures due to overheating of the old engines, (p2). To test this statement, NASCAR took a random sample of 115 of the new racecar engines and 120 of the old engines. They found that 12 of the new racecar engines and 9 of the old engines failed due to overheating during the test. Does NASCAR have enough evidence to reject the manufacturer's claim about the new racecar engine? Use a significance level of α=0.1 for the test. Step 1 of 6 : State the null and alternative hypotheses for the test. Step 2 of 6 : Find the values of the two sample proportions, pˆ1p^1 and pˆ2p^2. Round your answers to three decimal places. Step 3 of 6 : Compute the weighted estimate of p, p‾p‾. Round your answer to three decimal places. Step 4 of 6 : Compute the value of the test…Q1 Suppose a drug company designs to develop a new drug to prevent colds. The company states that the drug is equally effective for men and women. To test this claim, they choose a simple random sample of 100 women and 200 men from a population of 100,000 volunteers. At the end of the study, 38 women caught a cold; and 102 men caught a cold. (a) Based on these findings, can we reject the company's claim that the drug is equally effective for men and women? Use a 0.05 level of significance. (b) Find the 95% confidence interval for the difference between the proportions of women and men caught a cold. (c) Are the results of (a) and (b) consistent? Explain briefly.
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