21. A new medicine is designed to reduce blood pressure, and is being tested in two doses (100 mg and 50 mg). A placebo group is also formed to compare against the two experimental groups. The reduction in blood pressure among patients in each group is as follows: 100 mg 8 15 11 -2 23 11 21 17 18 -5 50 mg -4 9. 7 -11 13 -5 24 20 -4 Placebo 3 9 -2 17 21 27 -8 14 -2 Can we say that there is a significant result in these findings? (a = .10) 31

21. A new medicine is designed to reduce blood pressure, and is being tested in two doses (100 mg and 50 mg). A placebo group is also formed to compare against the two experimental groups. The reduction in blood pressure among patients in each group is as follows: 100 mg 8 15 11 -2 23 11 21 17 18 -5 50 mg -4 9. 7 -11 13 -5 24 20 -4 Placebo 3 9 -2 17 21 27 -8 14 -2 Can we say that there is a significant result in these findings? (a = .10) 31

Name: 21. A new medicine is designed to reduce blood pressure, and is being
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Description: 21. A new medicine is designed to reduce blood pressure, and is being tested in two doses(100 mg and 50 mg). A placebo group is also formed to compare against the twoexperimental groups. The reduction in blood pressure among patients in each group i

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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1. A recent report on elementary schools in Tarrant county claimed that 13% of elementary students typically walk to school. Luka thinks that the proportion is different than 0.13 at his large elementary school. Luka surveys a random sample of 80 students from his school and finds that 17 typically walk to school. Do the data provide convincing evidence that Luka's school has a different proportion of walkers than claimed by the report? Use a = 0.01.
The following data are from a repeated-measures study comparing two treatment conditions. Complete the table Treatment Person I II Totals Differences (II – I) A 11 13 P = B 8 7 P = C 10 13 P = D 8 8 P = E 7 13 P = F 10 12 P = M = M = N = MDD = T = T = G = ∑D = SS = SS = ∑X² = SSDD =
An epidemiologist wants to evaluate the most effective method to teach the public about preventative health. They compare the following 3 treatments; posters with information about healthy habits, social media posts about healthy habits, and TV commercials suggesting healthy habits. Which of the following tests is appropriate for this study? a. Independent Measures t-test (between subjects) b. ANOVA c. Two-Factor ANOVA d. Repeated Measure t-test (within-subjects)
A. Headache Pain : There are many over-the-counter pain relievers. By the end of the semester, you have a tremendous headache and are looking for the most effective pain relief available. You conduct a study comparing the three most popular pain relievers and a placebo to see which work best. You use only subjects with headaches and record the amount of time (in minutes) it takes for their headache to go away after they receive the medication. You randomly assign 60 participants to one of the four conditions using a double- + blind procedure. (Use a = Placebo 70 Drug A 30 Drug B 10 Drug C 10 30 60 40 20 50 40 10 10 60 30 40 10 10 40 30 30 30 30 30 10 40 20 20 20 60 40 20 30 50 30 30 10 30 30 20 20 60 20 10 10 20 40 20 30 20 50 20 10 40 20 30 30 State the hypotheses Critical value and df Test statistic
A. Headache Pain : There are many over-the-counter pain relievers. By the end of the semester, you have a tremendous headache and are looking for the most effective pain relief available. You conduct a study comparing the three most popular pain relievers and a placebo to see which work best. You use only subjects with headaches and record the amount of time (in minutes) it takes for their headache to go away after they receive the medication. You randomly assign 60 participants to one of the four conditions using a double- blind procedure. (Use a = .05) Drug A Drug C 10 Placebo Drug B 10 70 30 30 60 40 20 50 40 10 10 60 30 10 10 40 40 30 30 30 30 30 10 40 20 20 20 60 40 20 30 50 30 30 10 30 30 20 20 60 20 10 10 20 40 30 20 50 20 20 10 40 20 30 30 IV (or predictor) variable DV (or criterion) variable What type of analysis should you conduct to determine which method relieves headache pain most swiftly?
The data below are from an independent-measures experiment comparing three different treatment conditions. Use an ANOVA with a = .05 to determine whether these data indicate any significant differences among the treatments Treatment 1 Treatment 2 Treatment 3 0 1 4 N = 12 0 4 3 G = 24 0 1 6 åX2 = 92 2 0 3 M = 0.5 T = 2 M = 1.5 T = 6 M = 4 T = 16 SS = 3 SS = 9 SS = 6
When we assess exposure before outcome, which of the following measures of association should be calculated? [ Exposure ratio Risk ratio Odds ratio Prevalence ratio In a clinical trial of 734 subjects treated with medicine A, 29 reported headaches. In a control group of 735 subjects not treated with medicine A, 117 reported headaches. The Absolute Risk Reduction is equal to: [ 0.119 0.334 0.893 0.987
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A psychologist would like to examine the effects of a new drug on the activity level of animals. Three samples of rats are selected with n=5 in each sample. One group gets no drug, one group gets s small dose, and the third group gets a large dose. The psychologist records the activity level for each animal. The data from this experiment are presented below. No drug Small dose Large dose 5, 3 , 1 , 1 , 5 5, 5, 9, 6, 5 10, 12, 9, 6, 8 =3, SS=16 =6, SS=12 =9, SS=20 Do these data indicate any significant differences among the three groups? Test with α=0.05. Compute the effect size and interpret the result.
Refer to Exercise 3. In the last 50 samples, there were a total of 622 defective items. The largest number of defectives in any sample was 24, while the smallest number was 6. Is this enough information to determine whether the process was out of control at any time during the last 50 samples? If so, state whether or not the process was out of control. If not, state what additional information would be required to make the determination.
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