You have gathered a group of volunteers whoare all in their early 20s. They come fromvarious socioeconomic backgrounds and do notdrink wine, but they are all willing to try it forthe sake of the experiment. You want to dividethem into two groups (control and treatment),and you will monitor their health for fourdecades.Part A: Which of the following is an acceptablemethod for dividing the volunteers into groupsthat will minimize confounding in the long-termresults?Put all of the participants under the ageof 40 in the control group and all of theparticipants over the age of 40 in thetreatment group.Put all of the participants under the ageof 40 in the treatment group and all of theparticipants over the age of 40 in thecontrol group.O Put all of the men into the treatmentgroup and all of the women into thecontrol group.Put all of the women into the treatmentgroup and all of the men into the controlgroup.Randomly assign each participant toeither the treatment group or the controlgroup. Part B: With your method of dividing thevolunteers into groups, suppose that thedecades-long study concludes with asignificantly lower rate of heart disease amongthose who drank moderate amounts of wine.Write a sentence that infers a conclusion for thestudy.EditInsert ▾BIU ANMFormatsE EG-JAt +3

The Wine Health Study is a long-term research project aimed at studying the effects of moderate wine…

Answered: You have gathered a group of volunteers…

Advanced Engineering Mathematics

10th Edition

ISBN:9780470458365

Author:Erwin Kreyszig

Publisher:Erwin Kreyszig

Chapter2: Second-order Linear Odes

Section: Chapter Questions

Problem 1RQ

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A researcher wants to conduct an experimental study on the effect of learning strategies (cooperative and conventional) and learning interest (low, medium, and high) on learning outcomes. The total number of research samples is 90 students and each cell is 15 students. You determine the research data on the learning outcomes yourself. Interpret the results of the research data analysis.
You are concerned that nausea may be a side effect of Tamiflu, but you cannot just give Tamiflu to patients with the flu and say that nausea is a side effect if people become nauseous. However, past research indicates that about 30% of people who get the flu experience nausea, and you believe that the percentage of those who experience nausea while having the flu and taking Tamiflu will be greater than 30%, which would indigate that nausea is a side effect of Tamiflu. If you are going to test this claim at the 0.05 significance level, what would be your null and alternative hypotheses? Họ: H1: What type of hypothesis test should you conduct (left-, right-, or two-tailed)?
You are concerned that nausea may be a side effect of Tamiflu, but you cannot just give Tamiflu to patients with the flu and say that nausea is a side effect if people become nauseous. This is because nausea is common for people who have the flu. From past studies you know that about 34% of people who get the flu experience nausea. You collected data on 1926 patients who were taking Tamiflu to relieve symtoms of the flu, and found that 711 experienced nausea. Use a 0.01 significance level to test the claim that the percentage of people who take Tamiflu for the relief of flu symtoms and experience nausea is greater than 34%. a) Identify the null and alternative hypotheses? Ho: ? H₁: ? b) What type of hypothesis test should you conduct (left-, right-, or two-tailed)? left-tailed right-tailed O two-tailed c) Identify the appropriate significance level. d) Calculate your test statistic. Write the result below, and be sure to round your final answer to two decimal places. e) Calculate your…
A hypothetical study looks at the effect of drinking alcohol on health. Across all genders and age groups, people who do not drink tend to be healthier on average than people who do drink. However, people who drink regularly are on average healthier than those people who have recently stopped drinking. Is it reasonable to conclude that for the sake of health, we should not start drinking, but if we have already started drinking alcohol, it is healthier to continue and not to stop?
thank you …
As the manager of a fashion brand, you have recently run a large-scale campaign to draw attention to your company's CSR activities and thus improve the brand's image. In order to evaluate the efficiency of the campaign, you conducted a survey at major fashion stores to measure the attitudes towards. your brand at two points of time: before the campaign started and after the campaign finished. By summing up respondents' answers to 3 questions (each measuring a particular aspect of attitude on a 1-5 scale), a single overall measure of attitude is obtained for each participant. This measure can therefore range from 3 to 15, with a score of 3 representing and extremely negative attitude and a score of 15 representing an extremely positive attitude. To check whether male and female customers have different attitudes towards you company, as well as to test whether the campaign may have affected males and females differently, you ask the respondents to report their gender. You analyse the…
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6
Imagine you work for a large company that sells a variety of cleaning supplies deigned to prevent the spread of viruses. You decide to investigate what the best method for preventing the spread of viruses is, if only one method is used. You design experiments with the following groups: hand sanitizer only, hand washing without soap, hand washing with soap, along with a control group. Each group has 181 observations during testing, beginning with a certain amount of the viruses present before treatment is applied. The amount of germs is being measured. You find a sum of squares between treatments of 578.59, along with a sum of squares error of 5022.05. Using this information, what is the F-statistic of your analysis?
In August and September 2005 , Hurricanes Katrina and Rita caused extraordinary flooding in New Orleans, Louisiana. Many homes were severely damaged or destroyed, and of those that survived, many required extensive cleaning. It was thought that cleaning flood-damaged homes might present a health hazard due to the large amounts of mold present in many of the homes. In a sample of 350 residents of Orleans Parish who had participated in the cleaning of one or more homes, 50 had experienced symptoms of wheezing, and in a sample of 176 residents who had not participated in the cleaning, 42 reported wheezing symptoms (numbers read from a graph). Can you conclude that there is a difference between the proportion of residents with wheezing symptoms who cleaned flood-damaged homes and those who did not participate in the cleaning? Let p1 denote the proportion of residents with wheezing symptoms who had cleaned flood-damaged homes and p2 denote the proportion of…

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