There is some concem that if women over age 59 who take supplemental hormones also drink alcohol, their hormone levels will rise too high. Seventeen volunteers on hormone therapy were randomly divided into two groups, as were 18 other volunteers not on hormonetherapy In each case, one group drank an alcoholic beverage, the other a nonalcoholic beverage. An hour later everyone's hormone level was checked. Only those on supplemental hormones who drank alcohol showed a marked increaseThis experiment used treatments. (Type a whole number.)e) Identify the response variable measured.The response variable is) Identify the design (completely randomized, blocked, or matched).This experiment has a7 design.9) Identify whether the experiment was blind (or double-blind).O A. This experiment is single-blind. The subjects were blinded.O B. This experiment is double-blind.O C. This experiment is single-blind. The evaluators were blinded.O D. It is not known whether any blinding occurred.h) Identify the nature and scope of the conclusion regarding what the results of the experiment may or may not indicate.O A. This experiment indicates that drinking alcohol leads to increased hormone levels among those taking hormone supplementsO B. The experiment indicates that women over 59 who take hormone supplements should not drink alcohol.OC. This experiment indicates that taking hormone supplements leads to increased hormone levels among those drinking alcohol.O D. This experiment indicates that drinking alcohol leads to dangerous hormone levels among those taking hormone supplements. There is some concem that il women over age 59 who take supplemental hormones also drink alcohol, their hormone levels will rise too high. Seventeen volunteers on hormone therapy were randomly divided into two groups, as were 18 other volunteers not on hormonetherapy, In each case, one group drank an alcoholic beverage, the other a nonalcoholic beverage. An hour later everyone's hormone level was checked. Only those on supplemental hormones who drank alcohol showed a marked increasea) Identify whelther the above research is an observational study or an experimentThe described research is anb) Identify the subjects studiedThe subjects werec) Identify the factor(s) in the experiment, and the number of levels for each.How many factors are involved in this experiment?Type a whole number.)In the table below, name the factor(s) and the number of levels of each.FactorNumber of LevelsOType a whole number.)d) Identify the number of treatments.This experiment used treatments. (Type a whole number)e) Identify the response variable measured.The response variable is) Identify the design (completely randomized, blocked,matched).

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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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Researchers were curious to see if stress affected beta-endorphins. They took beta-endorphin levels for 19 patients 12 hours before surgery (lower stress) and again 10 minutes before surgery (higher stress). Given: SDd-bar = 13.52, SDx1 = 4.40
A magazine claims that the brand of shoe you buy can have a major impact on how fast you run. A researcher decides to test this assertion and gathers a group of seven (N=7) runners and asks each of them to run a mile wearing each of the four different types of shoes (Nike, Adidas, Asics, and Brooks) and records how quickly the runners complete their miles wearing each type of shoe. Conduct a within subjects (AKA repeated measures) ANOVA, at alpha = 0.05, to see if the runners mile times are significantly different depending on the type of shoe they wear. Identify the correct alternative hypothesis A. At least two mean mile times are different from at least two other mean mile times between the four different types of shoes being tested B. There is a significant difference in mean mile time between the four different types of shoes being tested C. At least one mean mile time is different from at least two other mean mile times between the four different types of shoes being…
A study was conducted to determine if lung cancer altered levels of surfactant in the alveoli of the lung. Seven healthy subjects in the study yielded the following data on surfactant levels: 18, 12, 15, 15, 16, 9, 17. Seven lung cancer patients yielded the following results: 16, 8, 7, 15, 11, 12, 9. Do these data indicate a difference in the surfactant level with cancer? Let α = 0.05. Give the p-value.
The National Academy of Science reported that 33 % of research in mathematics is published by US authors. The mathematics chairperson of a prestigious university wishes to test the claim that this percentage is no longer 33 %. He has no indication of whether the percentage has increased or decreased since that time. He surveys a simple random sample of 280 recent articles published by reputable mathematics research journals and finds that 108 of these articles have US authors. Does this evidence support the mathematics chairperson's claim that the percentage is no longer 33 % ? Use a 0.01 level of significance. Step 1 of 3: State the null and alternative hypotheses for the test. Fill in the blank below. Answer Ho :p = 0.33 Ha P O # ο ο ο HAV O < 0.33 Tables Keypad Keyboard Shortcuts
Polyunsaturated fatty acids in the diet favorably affect several risk factors for cardiovascular disease. The principal dietary polyunsaturated fat is linoleic acid. Suppose we randomly selected twelve adults for our study. We took their blood pressure measurements (systolic blood pressure) at the start and recorded them for each adult. Then we placed required these adults to consume 23g/day of safflower oil which is high in linoleic acid for four weeks. At the end of the four weeks, we took another systolic blood pressure(SBP) measurement. The paired data is provided below: Subject 1 2 3 4 5 6 7 8 9 10 11 12 Baseline SBP 119.67 100.00 123.56 109.89 96.22 133.33 115.78 126.39 122.78 117.44 111.33 92.39 1-month SBP 117.33 98.78 123.83 107.67 95.67 128.89 113.22 121.56 126.33 110.39 107.00 93.06 Use the appropriate nonparametric test at alpha level of 0.05, to test whether the diet heavy in linoleic acid increases systolic blood pressure (SBP). Use Steps 0-5
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Answer the following:
An educator believes that the proportion of finance majors seeking to earn an MBA degree equals the proportion of management majors seeking to earn an MBA degree in the population. A random sample of 100 finance majors is taken and 24 indicate that they will seek to earn an MBA degree. Likewise, a random sample of 400 management majors is taken and 65 indicate that they will seek to earn an MBA degree. Using this information, test the educator’s claim at the 0.05 level
A clinical trial is run to assess the effects of different forms of regular exercise on HDL levels in persons between the ages of 19 and 29. Participants in the study are randomly assigned to one of three exercise groups—weight training, aerobic exercise, or stretching/yoga—and instructed to follow the program for 8 weeks. Their HDL levels are measured after 9 weeks and are summarized below. Exercise Group N Mean Std Dev Weight Training 20 49.7 10.2 Aerobic Exercise 20 43.1 11.1 Stretching/Yoga 20 57.0 12.5 Complete the following ANOVA table. Source of Error Sums of Squares df Mean Squares F Between Within 6157.32 Total 1.Write the hypotheses to be tested. 2. Write the decision rule. Please find the F for the closest df 3. What is the conclusion?
A researcher conducts a between-subjects study to determine whether low levels of the neurochemical serotonin leads to an increase in aggression. One sample of rats serves as a control group and receives a placebo that does not affect normal levels of serotonin. A second sample of rats receives a drug that lowers brain levels of serotonin. Using an alpha level of a = .05, the researcher then tests the animals by recording the number of aggressive responses each of the rats display. The data are as follows: a.) Step 1: State the Hypotheses Ho: H₁: Control n = 10 M = 14 SS=180.5 b.) Step 2: Determine the critical region and draw it on the distribution above: df = > *critical SM₁-M₂ Low Serotonin n = 15 M = 19 SS = 130.0 c.) Step 3: Calculate the test statistic using the provided sample data: tobs d.) Step 4: Make a decision. Circle one: Reject Null (Ho) or Fail to Reject Null (Ho) e.) State your conclusions about the research scenario in sentence form: d= f.) What is the estimated effect…

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