п, 3.8 0.75 4 4.6 0.90 6 2.5 0.30 Use this data to construct the ANOVA table below. Source df S MS F Pr>F Treatment Error Total
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Data from a completely randomized experimental design with three treatments is given below
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- When only two treatments are involved, ANOVA and the Student's t-test (Chapter 11) result in the same conclusions. Also, for computed test statistics, f² = F. To demonstrate this relationship, use the following example. Fourteen randomly selected students enrolled in a history course were divided into two groups, one consisting of six students who took the course in the normal lecture format. The other group of eight students took the course as a distance course format. At the end of the course, each group was examined with a 50-item test. The following is a list of the number correct for each of the two groups. Traditional Lecture Distance 36 45 31 35 38 45 31 35 31 49 40 33 42 42 Click here for the Excel Data File a-1. Complete the ANOVA table. (Round your SS, MS, and F values to 2 decimal places and p-value and F crit to 4 decimal places.) Source of Variation Treatement Error Total SS df MS a-2. Use a α = 0.05 level of significance, find or compute the critical value of F. (Round…An aerosolized vaccine for measles was developed in Mexico and has been used on more than 4 million children since 1980. Aerosolized vaccines have the advantages of being able to be administered by people without clinical training and do not cause injection-associated infections. Despite these advantages, data about efficacy of the aerosolized vaccines against measles compared to subcutaneous injection of the vaccine have been inconsistent. Because of this, a large randomized controlled study was conducted using children in India. The primary outcome was an immune response to measles measured 91 days after the treatments. Among the 785 children receiving the subcutaneous injection, 743 developed an immune response, while among the 775 children receiving the aerosolized vaccine, 662 developed an immune response.3 1. Compute the proportion of subjects experiencing the primary outcome for both the aerosol and injection groups. 2. Can we safely use the large-sample confidence interval for…When only two treatments are involved, ANOVA and the Student’s t-test (Chapter 11) result in the same conclusions. Also, for computed test statistics, t2 = F. To demonstrate this relationship, use the following example. Fourteen randomly selected students enrolled in a history course were divided into two groups, one consisting of six students who took the course in the normal lecture format. The other group of eight students took the course in a distance format. At the end of the course, each group was examined with a 50-item test. The following is a list of the number correct for each of the two groups. Traditional Lecture Distance 39 42 35 36 45 48 35 46 49 43 33 45 42 46 Required:a-1. Complete the ANOVA table. (Round your SS, MS, and F values to 2 decimal places and p-value, F crit to 4 decimal places.) Source of Variation SS df MS F p-value F crit Treatment Error Total a-2. Use a α =…
- A random sample of 800 students is given an injection to prevent a certain type of flu. They are saying all exposed to the flu virus and it is later observed at 620 of them did not get the flu. Test at a 1% significance level whether the true proportion of students for which the injection was effective against the flu is more than 80%. What is scenario above, find the rejection region.In a one-way analysis of variance with three treatments, each with five measurements, in which a completely randomized design is used, what is the degrees of freedom for treatments?In a completely randomised design for ANOVA, SST = 75, MST - 25, SSE - 60 and MSE - 3.75. The number of treatments (k) and the sample size (n) are: O 4 and 20. O 3 and 20. O 4 and 16. O 3 and 16.
- Could you please answer letter c? Thank you.Imagine you are a statistical consultant and your client, a weightlifting supplement company, is looking to see if their product is effective in increasing muscle mass gained over a training cycle. You randomly sampled 20 female weightlifters and assigned them to take the supplement and 20 to take a placebo. You have both groups run the same controlled training program over 12 weeks and calculated their whole body lean mass difference in pounds from the beginning to the end of the program. Can you infer that the supplement group gained more muscle mass on average than the placebo group? Use a = 0.05 for any hypothesis test. પ્રમ 1) State the research question in one sentence and use the question to determine the parameter we are using to conduct statistical inference. Describe this parameter in one sentence using symbols and a description. manu ArenGastric freezing was once a recommended treatment for ulcers in the upper intestine. Use of gastric freezing stopped after experiments showed it had no effect. One randomized comparative experiment found that 28 of 82 gastric freezing patients improved, while 30 of the 78 patients in the placebo group improved. We can test the hypothesis of “no difference” between the two groups in two ways: using the two-sample z statistic or using the chi-square statistic A. State the null hypothesis with a two-sided alternative and carry out the z test for proportions. Assume that the conditions are met, what are the test statistic and the p-value. B. Present the data in a 2X2 table and complete the chi-square test. Assume the conditions are met, what are the test statistics and p-value. C. Square the test statistic in part (a) and compare it to the test statistic in part (b.) What do you notice.
- The Admissions Office at a small university has developed a new 10-minute video about the university to send to prospective students. Before mass-producing the DVD, they would like to test whether it is more effective than the current video. Suppose that you have 12 high school student volunteers who have agreed to take part in an experiment. The explanatory variable to be studied is the type of video, with two levels OLD and NEW. Would you describe your study as a randomized comparative experiment, a matched pair experiment, or an observational study? Briefly explain.The Paleo diet allows only for foods that humans typically consumed over the last 2.5 million years, excluding those agriculture-type foods that arose during the last 10,000 years or so. Researchers randomly divided 500 volunteers into two equal-sized groups. One group spent 6 months on the Paleo diet. The other group received a pamphlet about controlling portion sizes. Randomized treatment assignment was performed, and at the beginning of the study, the average difference in weights between the two groups was about 0 pounds. After the study, the Paleo group had lost an average of 7.6 pounds with a standard deviation of 20.75 pounds while the control group had lost an average of 5.8 pounds with a standard deviation of 12.5 pounds. What is the P value?How many degrees of freedom will the error have in a randomized block design with five treatments and three blocks?
