A medical research group is investigating the effectiveness of three tests for a certain disease: T1, T2, & T3. When 300 people with the disease were given the test, it was found out that : 54 reacted to all three tests, 147 reacted to T1, 128 reacted to T2, 182 reacted to T_3, 69 reacted to T1, & T2, 43 reacted to T1, only, and 75 reacted to T2, & T3. If one of these 300 people is chosen at random, what is the probability that he/she reacted to T2 only?
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- A medical research group is investigating the effectiveness of three tests for a certain disease: T1, T2, & T3. When 300 people with the disease were given the test, it was found out that : 54 reacted to all three tests, 147 reacted to T1, 128 reacted to T2, 182 reacted to T_3, 69 reacted to T1, & T2, 43 reacted to T1, only, and 75 reacted to T2, & T3. If one of these 300 people is chosen at random, what is the probability that he/she reacted to T2 only?
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- Researchers suspect that drinking tea might enhance the production of interferon gamma, a molecule that helps the immune system fight bacteria, viruses, and tumors. A recent study involved 20 healthy people who did not normally drink tea or coffee. Ten of the participants were randomly assigned to drink five cups of tea a day, while 10 were asked to drink the same amount of coffee. After two weeks, blood samples were exposed to an antigen and production of interferon gamma were measured. The results are shown in the following table: Теа: 55 17 54 49 10 46 21 14 53 Coffee: 16 12 20 52 37 15 22 30 3 Let X ~ N(ux,o3) be the interferon gamma production for participants who drink tea and observations for the ten participants who drink tea are a random sample from X. Let Y ~ N(uy,o) be the interferon gamma production for participants who drink coffee and observations for the ten participants who drink coffee are a random sample from Y. Some R output that may help. > p1 qnorm(p1) [1] -2.326…A study claims that the combination of vitamin C with vitamin E is more effective for preventing the flu than vitamin C alone. In the study, a group of researchers studied 1132 subjects. The subjects were randomly assigned to out of three study groups. The first group of 310 subjects were instructed to take 600 mg daily of vitamin C. The second group of 418 subjects were instructed to take 600 mg of vitamin C and 200 IU of vitamin E daily. The third group of 404 subjects were instructed to take 600 mg of vitamin C and 400 IU of vitamin E daily. The incidence of flu over a season was recorded. All subjects knew which treatment they were receiving. In this study, which is the control group? O the third group of 404 taking 400 IU of vitamin E O the 1132 subjects O the first group of 310 taking vitamin C alone O the second group of 418 taking 20O IU of vitamin E O There is no control group. This study is O double-blind Onot blind. O not an experiment blind, but not double-blind none of the…A study claims that the combination of vitamin C with vitamin E is more effective for preventing the flu than vitamin C alone. In the study, a group of researchers studied 1132 subjects. The subjects were randomly assigned to out of three study groups. The first group of 310 subjects were instructed to take 600 mg daily of vitamin C. The second group of 418 subjects were instructed to take 600 mg of vitamin C and 200 IU of vitamin E daily. The third group of 404 subjects were instructed to take 600 mg of vitamin C and 400 IU of vitamin E daily. The incidence of flu over a season was recorded. All subjects knew which treatment they were receiving.This study is double-blind not an experiment blind, but not double-blind not blind. none of the above
- A study claims that the combination of vitamin C with vitamin E is more effective for preventing the flu than vitamin C alone. In the study, a group of researchers studied 1072 subjects. The subjects were randomly assigned to one of three study groups. The first group of 410 subjects were instructed to take 600 mg daily of vitamin C. The second group of 358 subjects were instructed to take 600 mg of vitamin C and 200 IU of vitamin E daily. The third group of 304 subjects were instructed to take 600 mg of vitamin C and 400 IU of vitamin E daily. The incidence of flu over a season was recorded. All subjects knew which treatment they were receiving. The study reported that 300 subjects in each group self-reported no flu for the season, so the vitamin E does not help fight the flu. This statement is false because:• not all groups have the same number of subjects.• not all the subjects took vitamin C.• the amount of vitamin C was different. It would be better to show the results…A study claims that the combination of vitamin C with vitamin E is more effective for preventing the flu than vitamin C alone. In the study, a group of researchers studied 1132 subjects. The subjects were randomly assigned to out of three study groups. The first group of 310 subjects were instructed to take 600 mg daily of vitamin C. The second group of 418 subjects were instructed to take 600 mg of vitamin C and 200 IU of vitamin E daily. The third group of 404 subjects were instructed to take 600 mg of vitamin C and 400 IU of vitamin E daily. The incidence of flu over a season was recorded. All subjects knew which treatment they were receiving.In this study, which is the control group? the second group of 418 taking 200 IU of vitamin E the third group of 404 taking 400 IU of vitamin E the 1132 subjects the first group of 310 taking vitamin C alone There is no control group.Suppose a study investigated the effects of vitamin A, vitamin C, and omega-3 fatty acids supplements on improving eye health and vision. 300 adults volunteered to take part in the study. In the study, participants were randomly assigned to one of 3 different levels of Vitamin A (Level A, Level B, or Level C) and randomly assigned to one of 2 different levels of Vitamin C (Level 1 or Level 2) and randomly assigned to one of 2 different levels of omega-3 fatty acid (Level I or Level II). a. Identify the subjects of the study. b. Identify the factor(s) for the study and the number of treatment level(s) for each factor. c. How many different treatment groups are there in this study?
- A medical study followed 675 cancer patients who received either the new drug lafent or a standard chemotherapy drug. 76% of those who received lafent were still living after eight months, compared to only 63% of this who received the standard chemotherapy drug.In a 2009 study, a team of researchers recruited 38 men and divided them randomly into two groups - treatment or control. The also recruited 38 women and they randomly placed half the participants into the treatment group and the other half into the control group. One group was given 25 grams of chia seeds twice a day, and the other was given a placebo. The subjects volunteered to be a part of the study. After 12 weeks, the scientists found no significant difference between the groups in appetite or weight loss. Which of the following is true. (i) This is an observational study (ii) Blinding is used in this study because subjects in the control group recieved a placebo, so that htey were blinded to the treatment they recieved. (iii) We can safely generalize the conclusion (that chia seeds have no significant effect on appetite or weight loss) from the participants to the population at large because randomization is used when assigning participatns to groups.A paper published in the Journal of Dermatology and Venereology reported that nickel allergy more likely to occur in women who report cosmetic dermatitis from using eye shadow. The researcher has taken two samples in their study from a similar population. In the first sample of 131 women with cosmetic dermatitis from using eye shadow, 12 were diagnosed with a nickel allergy. While in the second sample of 250 women with cosmetic dermatitis from using eye shadow, 25 were diagnosed with a nickel allergy. Compute a 95% confidence interval that is a closely related but simpler alternative to Wilson's Method for the first and the second samples for the proportion of women with cosmetic dermatitis from using eye shadow who have a nickel allergy. (i) (ii) Compare the two confidence intervals you compute in (i). (i) Suppose you are informed that the true proportion of women diagnosed with a nickel allergy is 0.12. Explain it refers to which group.
- Ten adult males between the ages of 30 and 40 participated in a study to evaluate the effect of a specific health regimen involving diet and exercise on the blood cholesterol. Five were randomly selected to be a control group, and five others were assigned to take part in the regimen as the treatment group for a period of 6 months. The following data show the reduction in cholesterol experienced for the time period for the 10 subjects: Control group: 7, 3, -4, 14, 2 Treatment group: -6, 5, 9, 4, 4 Compute the sample mean and standard deviation for Control Group. Select one: O A. 4.4, 44.3 О В. 4.4, 6.66 о С. 3.2, 5.54 O D. 3.2, 30.7Paraquat is one of the most widely used herbicides and is highly toxic to animals. In a study to assess the protective effects of a new agent A against paraquat, 200 rats were randomly assigned to three groups. The first group (treatment I) was administered paraquat; the second group (treatment II) was administered paraquat plus a low dose of agent A; the third group (treatment III) was administered paraquat plus a high dose of agent A. The number of rats that survived more than eight days for each group was recorded and are presented in Table 2 1% level of significance, whether agent A affects the survival rate of paraquat infected rats. a)For the test , how many degrees of freedom does the distribution of the test statistic have? (c) What is the value of the observed test statistic associated with the test ? (d) What is the p-value associated with the test ?People who eat lots of fruits and vegetables have lower rates of colon cancer than those who eat little of these foods. Fruits and vegetables are rich in "antioxidants" such as vitamins A, C, and E. Will taking antioxidants help prevent colon cancer? A clinical trial studied this question with 864 people who were at risk for colon cancer. The subjects were divided into four groups: daily beta-carotene, daily vitamins C and E, all three vitamins every day, and daily placebo. After four years, the researchers were surprised to find no significant difference in colon cancer among the groups. What are the explanatory and response variables in this experiment? Explanatory variable Response variable Answer Bank development of colon cancer vitamin regimen the sample size quantity of fruits and vegetables consumed