5. The following scores are from an independent-measures study comparing two treatmentconditions.a. Use an independent-measures t test with a = .05 to determine whether there is asignificant mean difference between the two treatments.b.Use an ANOVA with a = .05 to determine whether there is a significant meandifference between the two treatments. You should find that F = t².Treatment I3107810121312Treatment II347410256N=16G=116ΣΧ2 = 1034

Treatment I Treatment II 3 3 10 4 7 7 8 4 10 10 12 2 13 5 12 6

Answered: 5. The following scores are from an…

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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The following data represent the results from an independent-measures study comparing two treatment conditions. Treatment Treatment One Two 5.5 4.4 6.7 4.2 6.1 5.3 6.7 5.8 6.5 Using SPSS, run the independent-measures single-factor ANOVA for this data: F-ratio: p-value: Now, run the independent-measures t test on the same data: t-statistic: p-value: What do you observe about the p-values? What is the relationship between the F-ratio and the t-statistic? > Next Question M
treatment conditions. a. Treatment 1 0 0 0 3 0 0 T=3 SS = 7.5 Treatment 2 2 3 1 3 2 1 T = 12 SS=4 Treatment 3 4 2 4 3 4 4 G=36 SStotal = 42 T = 21 SS = 3.5 Use an analysis of variance with a = .05 to determine whether these data indicate any significant mean differences among the treatments. Please organize all of your work on a source table E C
The following data represent the results from an independent-measures study comparing two treatment conditions. Treatment Two Treatment One 3.4 3.2 4.3 4.3 4.9 4.4 2.7 5.5 3.4 4.1 3.8 4.3 4.1 3.6 4.3 2.2 Conduct ANOVA with a = 0.05 for this data and calculate the F-ratio and p-value. Round your answer to three decimal places. Assume all population and ANOVA requirements are met. F-ratio: p-value: Now, conduct a t-test with a = 0.05 on the same data and calculate the t-statisitc and p-value. Round your answer to three decimal places. t-statistic: p-value:
A study is designed to investigate whether there is a difference in response to various treatments in patients with Rheumatoid arthritis. The outcome is the patient’s self-reported effect of treatment. The data are shown below. Is there a significant difference in effect of treatment? Run the test at a 5% level of significance. Symptoms Worsened No Effect Symptoms Improved Total Treatment 1 22 14 14 50 Treatment 2 14 15 21 50 Treatment 3 9 12 29 50 Using the data above, suppose we focus on the proportions of patients who show improvement. Is there a statistically significant difference in the proportions of patients who show improvement between treatments 1 and 2? Run the test at a 5% level of significance.
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The following data were obtained an independent-measures research study comparing three treatment conditions. Use an ANOVA with α = 0.05 to determine whether there are significant mean differences among the treatments. TREATMENT I II III 2 5 7 N = 14 5 2 3 G = 42 0 1 6 ∑X^2 = 182 1 2 4 2 2 T 12 10 20 SS 14 9 10
2. A law school releases admissions data from past years. The median score on the LSAT for accepted students was 167. (Scores on the LSAT range from 120 to 180 points.) The first and third quartiles of LSAT scores for accepted students were 155 and 173 points, respectively. (a) Roughly sketch a histogram for what the LSAT scores for accepted students might look like based on the information given. (b) Suppose you are applying to this law school, and you read about an experiment for a new LSAT test-preparation course. Two hundred students participated. Of these, 100 were randomly chosen to take the course. They got an average score of 166 points, with an SD of 17 points. The other 100 students did not take the course and studied on their own. They got an average score of 165 points, with an SD of 18 points. Calculate the two-sample z test statistic and p-value for the null hypothesis that the course does not affect scores.
The following data related the rubber percentage of two types of rubber plants, where the sample have been drawn independently. Test for their mean difference. Type 1 6.21 5.70 6.04 4.47 5.22 4.45 4.84 5.84 5.88 5.82 6.09 5.59 6.06 5.59 6.74 5.55 Type II 4.28 7.71 6.48 7.71 7.37 7.20 7.06 6.40 8.93 5.91 5.51 6.36
2. Recovering from surgery: A new postsurgical treatment was compared with a stan- dard treatment. Seven subjects received the new treatment, while seven others (the controls) received the standard treatment. The recovery times, in days, are given below. Can you conclude that the mean recovery time for those receiving the new treatment is less than the mean for those receiving the standard treatment? Use the a = 0.05 level. Treatment: Control: H₁: 12 18 (a) List the null and alternate hypetheses. Ho : (c) List the P-value. 13 23 (d) Make the comparison. 15 24 19 30 20 32 (b) List the distribution, the test statistic, the calculator program, and all input and output variables. 21 35 We reject Ho / We do not reject Ho (circle one) (e) State the final conclusion in the wording of the problem. 24 39
How would you explain question a in detail?

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