The data below are from an independent-measures experiment comparing three different treatment conditions.Treatment 1Treatment 2Treatment 3014043016203Find the following:df within:

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Answered: The data below 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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In Exercises, we present descriptions of designed experiments. In each case, identify the a.experimental units.b.response variable.c.factor(s).d.levels of each factor.e.treatments. Dexamethasone and IQ. In the paper “Outcomes at School Age After Postnatal Dexamethasone Therapy for Lung Disease of Prematurity” (New England Journal of Medicine, Vol. 350, No. 13, pp. 1304–1313), T. Yeh et al. studied the outcomes at school age in children who had participated in a double-blind, placebo-controlled trial of early postnatal dexamethasonetherapy for the prevention of chronic lung disease of prematurity. One result reported in the study was that, at school age, the control group of 74 children had an average IQ score of 84.4, whereas the dexamethasone group of 72 children had an average IQ score of 78.
The following data represent the results from an independent-measures study comparing two treatment conditions. TreatmentOne TreatmentTwo 5.6 3.3 4.1 2.9 5.6 3.6 4.6 4.6 3 4.5 Conduct ANOVA with α=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 α=0.05 on the same data and calculate the tt-statisitc and pp-value. Round your answer to three decimal places.t-statistic: p-value:
For the following data, what are the df values for the repeated-measures F-ratio? Treatments Subject I II III P-totals A 3 4 5 12 G = 27 B 1 1 4 6 ΣX2 = 109 C 2 1 6 9 T = 6 T = 6 T = 15 SS = 2 SS = 6 SS = 2 Select one: a. 3, 4 b. 2, 4 c. 2, 6 d. 3, 6
What is the degrees of freedom? A. 9 B. 10 C. 18 D. 20
Given the following sample statistics X(bar) = 20, Y (bar) = 200, Sx = 100, Sy = 60, Rxy = 0.4, n = 50, the appropriate regression equation %3D %3D %3D %3D %3D is O a. Y= 159.2+ 0.24X %3D O b. Y= 195.2+ 0.24X O c. Y = 195.2 -0.24X O d. Y= 195.2+ 0.42X
The data below are from a study comparing three different treatment conditions: Treatment 1 Treatment 2 Treatment 3 0 1 6 1 4 5 0 1 6 3 2 3 T = 4 T = 8 T = 20 SS = 6 SS = 6 SS = 6 N = 12 G = 32 ƩX2= 138 Conduct a single-factor independent-measures ANOVA to test the hypothesis that there are significant differences in the mean scores among the three treatment conditions. Use α = .01. a. The alternative hypothesis is
The following data summarize the results from an independent-measures study comparing three treatment conditions. Treatment I II III N = 12 3 5 6 G = 60 5 5 10 ∑X2 = 392 3 1 10 1 5 6 x̅1 = 3 x̅2 = 4 x̅3 = 8 T1 = 12 T2 = 16 T3 =32…
6) The following data summarize the results from an independent-measures study comparing three treatment conditions. Treatment II 3. 6. N= 12 10 G = 60 1 10 EX = 392 1 5. 6. M = 3 M = 4 M= 8 T= 12 T= 16 T= 32 SS = 8 SS = 12 SS = 16 a) Use an ANOVA with a = .05 to determine whether there are any significant differences among the three treatment means. b) Calculate n² to measure the effect size for this study. c) Write a sentence demonstrating how a research report would present the results of the hypothesis test and the measure of effect size. 3.
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The following data are from an independent-measures experiment comparing two treatment conditions: Treatment 1 Treatment 2 6 19 13 9 8 18 4 10 13 12 4 14 11 19 5 11 Which variables are described in this scenario and what are their scales of measurement? Which test should you use?
The following data represent the results from an independent-measures study comparing two treatment conditions. Treatment I II 10 7 N = 16 8 4 G = 120 7 9 ∑X² = 1036 9 3 13 7 7 6 6 10 12 2 M = 9.000 M = 6.000 T = 72 T = 48 SS = 44 SS = 56 Use an independent-measures t test with α = .05 to determine whether there is a significant mean difference between the two treatments. (Use three decimal places; subtract MIIII from MII.) t-critical = ± t = t Distribution Degrees of Freedom = 21 -3.0-2.0-1.00.01.02.03.0t Conclusion: Fail to reject the null hypothesis; there are significant differences between the two treatments. Reject the null hypothesis; there are significant differences between the two treatments. Fail to reject the null hypothesis; there are no significant differences between the two treatments. Reject the null hypothesis; there are…
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

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Treatment 1	Treatment 2	Treatment 3
0	1	4
0	4	3
0	1	6
2	0	3

The data below are from an independent-measures experiment comparing three different treatment conditions. Treatment 1 Treatment 2 Treatment 3 0 1 4 0 4 3 0 1 6 2 0 3 Find the following: df within