The medical researcher is comparing two treatments forlowering cholesterol: diet and meds. The researcher wantsto see if the patients who receive the recommendation tochange their diet have less success lowering cholesterolcompared to a prescription of meds. A random sample ofsome patients who received the recommendation to changetheir diet and others who were prescribed meds was taken.The results of how many did or did not lower theircholesterol are shown below:Data on Diet vs. Medsfor Weight LossDietMedsYes 343569No 204266What can be concluded at the = 0.10 level of significance?For this study, we should useSelect an answera. The null and alternative hypotheses would be:Ho:Select an answerSelect an answerSelect an answer (please enter a decimal)H₁: Select an answer ✪ Select an answerSelect an answer (Please enter a decimal)b. The test statistic ? ◊=your answer to 3 decimal places.)c. The p-value =4 decimal places.)d. The p-value is ? Q(please show(Please show your answer to

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Answered: lowering cholesterol: diet and meds.…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Studies indicate that excessive noise at night can affect weight gain. One study of n = 127 rats compared the weight gain of rats exposed to excessive noise at night and the weight gain of rats in a quiet night environment. Sample statistics for the study are given in the table below. Use this information to determine if there is significant evidence that weight gain of rats exposed to excessive noise at night is different on average than weight gain of rats in a quiet night environment. Excessive noise at night environment (Group 1) Quiet night environment (Group 2) Sample mean (grams) 22.4 19.9 Sample standard deviation (grams) 6.4 3.8 Observations/Sample size 69 58 The 95% confidence interval for the difference (Group 1 – Group 2) in weight gain of rats exposed to excessive noise at night and rats in quiet night environment is (0.7g, 4.3g). Interpret this confidence interval in one or two sentences.
Pain medications sometimes come with side effects. One side effect is dizziness. A researcher wanted to determine if some pain medications produced more or less dizziness than others. The results from his study are shown in the table below. Use a test to determine if the proportion of people within each treatment group who experienced dizziness are the same at the α = .01 level of significance. Tordol Placebo Naproxen Tylenol Advil Dizziness 83 32 36 5 8 No dizziness 4063 1832 1330 382 337 1) Determine the null and alternative hypotheses. Select the correct pair. Ho:The proportion of people within each treatment group who experienced dizziness are independentHa: The proportion of people within each treatment group who experienced dizziness are dependent Ho:The proportion of people within each treatment group who experienced dizziness are the sameHa: The proportion of people within each treatment group who experienced dizziness are different 2) Determine the…
A study is designed to investigate whether there is a difference in response to various treatments in patients with Rheumatid arthritis. The outcome is the patient's self reported effect of treatment. The data are shown below. Is there a significnt difference in effect of treatment? Run the test at a 5% level of significance. Symptoms worsened no effect symptoms total improved Treatment 1 22 14 14 50 Treatment 2 14 15 21 50 Treatment 3 9 12 29 50
Studies indicate that excessive noise at night can affect weight gain. One study of n = 127 rats compared the weight gain of rats exposed to excessive noise at night and the weight gain of rats in a quiet night environment. Sample statistics for the study are given in the table below. Use this information to determine if there is significant evidence that weight gain of rats exposed to excessive noise at night is different on average than weight gain of rats in a quiet night environment. Excessive noise at night environment (Group 1) Quiet night environment (Group 2) Sample mean (grams) 22.4 19.9 Sample standard deviation (grams) 6.4 3.8 Observations/Sample size 69 58 The p-value for this test is 0.0086. Make a decision and conclusion for the hypothesis test in context. Use a 5% significance level (α = 0.05).
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HOW TO INPUT IN EXCEL AND JAMOVI A psychologist would like to research if the Hope scale(Synder, et al., 1991) scores differ between those living in City A and City B. The 12-item scale consisted of two subscales: a 6-item agency subscale and a 6-item pathways subscales. Scores on the 12 items were averaged, with higher scores indicating higher levels of hope. The following scores were obtained. Use Student’s t-test for Independent Groups, alpha at .05 2 tail City A - 43 38 36 38 52 60 58 66 55 63 City B - 62 34 35 52 58 72 57 55 80 67
For the population of college students, the number of hours spent studying per week is normally distributed with a = 4.40 and = 2.32 hours. We surveyed a random sample of students majoring in psychology about the number of hours they spent studying this past week. The data is as follows: 6, 8, 9, 4, 3, 11, 4, 6, 5, 7 What is the dependent variable? What is the level of measurement of the dependent variable? 3. Is there a significant increase in the number of hours spent studying for our sample compared to the population of college students? Perform a complete hypothesis test (z-test) using alpha = .01 level. SHOW ALL WORK
The following table represents the results of the study which compares effects of regular coffee vs decaffeinated coffee. The outcome is a development of headache. Regular coffee Headaches 17 Decaffeinated coffee 9 Total 26 No headaches 51 55 106 Which of the values best represents the risk difference(RD) in this study?
Studies indicate that excessive noise at night can affect weight gain. One study of n = 127 rats compared the weight gain of rats exposed to excessive noise at night and the weight gain of rats in a quiet night environment. Sample statistics for the study are given in the table below. Use this information to determine if there is significant evidence that weight gain of rats exposed to excessive noise at night is different on average than weight gain of rats in a quiet night environment. Excessive noise at night environment (Group 1) Quiet night environment (Group 2) Sample mean (grams) 22.4 19.9 Sample standard deviation (grams) 6.4 3.8 Observations/Sample size 69 58 Is this a one-tailed or a two-tailed test? Explain in one or two sentences.
When a t-test is used to compare pre- and post-treatment data. What does the t-test reveal about the difference between baseline and treatment?
On occasion, medical studies need to model the proportion of the population that has a disease and compare that to observed frequencies of the disease actually occurring. Suppose the end-stage renal failure in south-west Wales was collected for different age groups. Do the data in the table show that the observed frequencies are in agreement with proportion of people in each age group? Test at the 1% level. Renal Failure Frequencies Age group 16-29 30-44 45-59 60-74 75+ Total Observed Frequencies 125 152 134 124 48 583 Expected Proportion 0.23 0.25 0.22 0.21 0.09 State the hypotheses.H0: The observed frequencies in agreement with proportion of people in each age group.Ha: The observed frequencies in agreement with proportion of people in each age group. Calculate the χ2 test statistic. Round expected values to two decimal places. Round χ2 to 3 decimal places.χ2 = Calculate the p-value. Round to 3 decimal places.p-value = State your decision.Since p-value α,…
Pain medications sometimes come with side effects. One side effect is dizziness. A researcher wanted to determine if some pain medications produced more or less dizziness than others. The results from his study are shown in the table below. Use a test to determine if the proportion of people within each treatment group who experienced dizziness are the same at the α= .01 level of significance. Tordol Placebo Naproxen Tylenol Advil Dizziness 83 32 36 5 8 No dizziness 4063 1832 1330 382 337 1) Determine the null and alternative hypotheses. Select the correct pair. Ho: The proportion of people within each treatment group who experienced dizziness are the sameHa: The proportion of people within each treatment group who experienced dizziness are different Ho:The proportion of people within each treatment group who experienced dizziness are independentHa:The proportion of people within each treatment group who experienced dizziness are dependent 2) Determine the…

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