An experiment has three steps with three outcomes possible for the first step, two outcomes possible for the second step, and four outcomes possible for the third step. How many experimental outcomes exist for the entire experiment?
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- You develop a new vaccine for HPV and want to know if the effectiveness is different in men and women (biology note: there are many, many viruses which can cause HPV symptoms). You give the vaccine to 45 men and 63 women. After several years you find that 12 men came down with HPV and 27 women came down with HPV. Is there a difference in effectiveness between men and women? Again, give both the test statistic and the table value. Use α = 0.05 and make sure you give H0, H1, etc.. State your conclusionWhat are the effects of repeated exposure to an advertising message? The answer may depend on both the length of the ad and how often it is repeated. And experiment investigated this question using undergraduate students. All students viewed a 40 minute television program that included ads for a new smartphone. Some subjects saw a 30-second commercial others, a 90-second commercial. The same commercial was shown either one, three, or 5 times during the program. After viewing, all students answered questions about there recall of the ad, their attitudes towards the smartphone, and there intentions to purchase it. In this experiment, the length of the commercial and the number of times it was shown are. (A) the responses. (B) the blocking variables. (C) lurking variables. (D) the explanatory variables.how do I do this problem? Please answer all part of the question and show all work and steps so I am able to easily understand it.
- how do i solve this question?Barry has several Christmas Cactus houseplants. He heard a rumor that they will bloom better if they are put in a dark room from October to November. What experiment could Barry design to test his hypothesis?BREAKFAST AND TEST SCORES 1 of 4 What type of test should this researcher use? Conventional wisdom says that eating a healthy breakfast can improve your health and your weight, but can it also affect your test scores? In order to test this, a school program convinces a group of students to skip breakfast one morning before taking a Basic English test. Eighteen students received breakfast before taking the test, and twenty-one students did not eat breakfast and recorded their performance on the English test. What type of research test should this researcher use? Their results are as follows:
- Green Tea and Prostate Cancer A preliminary study suggests a benefit from green tea for those at risk of prostate cancer. The study involved 60 men with PIN lesions, some of which turn into prostate cancer. Half the men, randomly determined, were given 600 mg a day of a green tea extract while the other half were given a placebo. The study was double-blind, and the results after one year are shown in the table below. Treatment Cancer No Cancer Green Tea 1 29 Placebo 9 21 (a) Test at a 5% significant level to see if the sample provide evidence that taking green tea extract reduces the risk of developing prostate cancer. (b) Find 98% confidence interval for the difference between two population proportions of men with PIN lesions who get prostate cancer after taking green tea extract and after taking placebo for a year. Interpret the C.I. result.Lucy recently asked the servers at her restaurant to only give straws to customers who request them. She thinks that about half of the customers will ask for straws but hopes that the rate will be less than half. She randomly selects 100 customers and finds that 43 of them ask for a straw. To determine if these data provide convincing evidence that the proportion of customers who will ask for a straw is less than 50%, 150 trials of a simulation are conducted. Lucy is testing the hypotheses: H0: p = 50% and Ha: p < 50%, where p = the true proportion of customers who will ask for a straw. Based on the results of the simulation, what is the estimate of the P-value of the test? A) 0.0333 B) 0.05 C) 0.0733 D) 0.11College students and STDs: A recent report estimated that 25% of all college students in the United States have a sexually transmitted disease (STD). Due to the demographics of the community, the director of the campus health center believes that the proportion of students who have a STD is higher at his college. He tests H0: p = 0.25 versus Ha: p > 0.25. The campus health center staff select a random sample of 150 students and determine that 43 have been diagnosed with a STD. Conduct a hypothesis test to address the director’s hypothesis. Use a 5% significance level to make your decision. Use the applet to determine the P‑value. Click here to open the applet. Which of the following is an appropriate conclusion based on the results? The data provides strong evidence that the proportion of students at his college who have a STD is more than 25%. The data suggests that the proportion of students at his college who have a STD is 29%. Of the students surveyed at his college, 29%…
- You are testing the difference between high school freshmen and seniors on SAT performance. The null hypothesis is that the population mean SAT score of the seniors is equal to the population mean SAT score of the freshmen. You randomly sample 20 students in each grade and have them take the SAT. You find that the sample mean of the seniors is significantly higher than the sample mean of the freshmen. Which alternative hypothesis is accepted? The population mean SAT score of the seniors is less than the population mean SAT score of the freshmen. The population mean SAT score of the seniors is greater than the population mean SAT score of the freshmen. You cannot be sure which alternative hypothesis to accept. You just know that the null hypothesis was rejectedMany golfers wear wrist bracelets containing magnets because they claim the magnets improve balance and the length of shots played off the tee. A golfer would like to determine if the claim has merit and finds 200 volunteers who play golf to participate in an experiment. Half of the golfers are randomly assigned to wear a bracelet with magnets, while the other half wear a bracelet without magnets. Each golfer plays normally for a month, after which the length of their shots in a subsequent round is recorded. What is the response variable in this experiment? the age of each golfer the 200 volunteers the length of shots played by the golfers whether the golfers wear or do not wear the braceletA study of young children was designed to increase their intake of whole-grain, rather than regular-grain, snacks. At the end of the study, the 79 children who participated in the study were presented with a choice between a regular-grain snack and a whole-grain alternative. The whole-grain alternative was chosen by 55 children. You want to examine the possibility that the children are equally likely to choose each type of snack. H0: p = 0.5Ha: p ≠ 0.5 Perform the significance test. (Use α = 0.01. Round your test statistic to two decimal places and your P-value to four decimal places.)
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