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- A binomial experiment is UDC in which there are exactly __________ outcome. One outcome is called __________ , and the other is called ___________.It has been found that 2 out of every 10 people who visit a local store purchasemilk. If we randomly select a sample of 13 visitors to the store, what is theprobability that: Question: No more than two of the visitors will purchase milk? Interpret youranswer.Suppose a researcher is testing someone to see whether she or he can tell Soda X from Soda Y, and the researcher is using 34trials, half with Soda X and half with Soda Y. The null hypothesis is that the person is guessing. a. About how many should the researcher expect the person to get right under the null hypothesis that the person is guessing? b. Suppose person A gets 32 right out of 34, and person B gets 20 right out of 34.Which will have a smaller p-value, and why?
- It has been found that 2 out of every 10 people who visit a local store purchasemilk. If we randomly select a sample of 13 visitors to the store, what is theprobability that:Question: More than three of the visitors will purchase milk? Interpret youranswer.Mr. B asserts that fewer than 5% of the battery that he sells are defectives. Suppose 200 battery are randomly selected, each are tested and 8 defective batteries are found. Does this provide sufficient evidence for Mr. B to conclude that the fraction of defective batteries is less than 0.05? Use α=0.01 and the p-value approach.a. The null hypothesis isp=0.05p<0.05p>0.05p≤0.05b. The alternative hypothesis isp=0.05p≤0.05p>0.05p<0.05c. The sample proportion is0.050.010.040.02d. The value of the test statistic is0.65-0.650.55-0.55e. The p-value is0.25780.24220.7422none of thesef. The Decision isReject the null hypothesis. There is a significant difference between the sample mean and the population mean.Reject the null hypothesis. There is no significant difference between the sample mean and the population mean.Accept the null hypothesis.There is a significant difference between the sample mean and the population mean.Accept the null hypothesis.There is no significant…A television executive believes that at least 99% of households in the US have at least one television. An intern at the executive's company is given the task of using a hypothesis test to determine whether the percentage is actually less than 99%. The intern decides to fail to reject the null hypothesis. If, in realiry, 96.7% of house holds own a television set, was an error made? if so, what type.
- If all of the four drug companies in the previous question (Q1-(1)) obtained a p-value of 0.03 in their c clinical trails Company A will reject the null hypothesis (H0) Company B will reject the null hypothesis (H0) Company C will reject the alternative hypothesis (H1) Company D will reject the alternative hypothesis (H1)A teacher is comparing the mena study time of his freshmen and senior students. He believes that his senior students spend more time studyin per week than his freshmen studnet and decides to perform a hypothesis test on his belief. a. Suppose the decision of the hypothesis test is to reject the null hypothesis. If, in realiry, treshmen study for a mean of 10 hours per week and seniors study for a mena of 15 hours per week, was an error made? if so, what type? b. Suppose the decision of the hypothesis test is to fail to reject the null hypothesis. if, in realiry, freshmen study for a mena of 15 hours per seek and seniors study for a mean of 15 hours per week, was an error made? is so, what type?Q3. If the null hypothesis is not rejected when the null hypothesis is in error, what type of error, if any, has been made?