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 a. Do these data indicate a significant difference between the treatments at the α = .05 level of significance? b. Compute r2 to measure the size of the treatment effect. c. Write a sentence demonstrating how the outcome of the hypothesis test and the measure of effect size would appear in a research report

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

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Problem 1P

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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 a. Do these data indicate a significant difference between the treatments at the α = .05 level of significance? b. Compute r2 to measure the size of the treatment effect. c. How would the outcome of the hypothesis test and the measure of…
The following data are from an independent-measures experiment comparing two treatment conditions.                                     Treatment 1     Treatment 2                                                4                    19                                                5                    11                                              12                    18                                              10                    10                                            10                  12                                                7                  14 A. Do these data indicate a significant difference between the treatments at the .05 level of                significance?           M1 = _____________________________           SS1 = _____________________________           M2 = _____________________________           SS2 = _____________________________           tcritical =     _________________________           sp² =…
The following data summarize the results from an independent-measures study comparing three treatment conditions.                                                                              Treatment                                                                     I               II            III                   N = 12                                                                     4              3            8                    G = 48                                                                     3              1            4                 ∑X2 = 238                                                                     5              3            6                                                                     4              1            6                                                                  x̅1 = 4        x̅2 = 2      x̅3  = 6                                                                T1 = 16      T2 = 8      T3 = 24…
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…
The following data were obtained from an independent-measures study comparing three treatment conditions. Treatment I II III 4 3 8 N = 12 3 1 4 G = 48 5 3 6 ΣX2 = 238 4 1 6 M = 4 M = 2 M = 6 T = 16 T = 8 T = 24 SS =2 SS = 4 SS = 8 A) Use an ANOVA with alpha = .05 to determine whether there are any significant differences among the three treatment means. Follow the four-step procedure of hypothesis testing. B) Calculate the eta squared to measure the effect size. C) Report your results of one-way ANOVA analysis and the effect size in APA format. D) conduct a post hoc analysis with Tukey’s HSD
The following data were obtained from a repeated- measures study comparing three treatment conditions. Conduct a hypothesis test to examine whether there was a significant treatment effect (alpha = .05, follow four-step procedure) Treatment Participant I II III P A 6 8 10 24 G = 48 B 5 5 5 15 ΣX2 = 294 C 1 2 3 6 D 0 1 2 3 T = 12 T = 16 T = 20 SS = 26 SS = 30 SS = 38
The following data summarize the results from an independent measures study comparing three treatment conditions. I II III 5 3 6 3 3 8 1 7 5 1 4 2 5 3 4 T =15 T =20 T = 25 G = 60 SS =16 SS =12 SS =20 ΣX2 = 298 Use an ANOVA with α = .01 to determine whether there are any significant differences among the three treatment means The null hypothesis in symbols is: H0: μ1 ≠ μ2≠ μ3 H0: μ1 = μ2 = μ3 H0: M1 = M2 = M3 H0: M1 ≠ M2≠ M3 H0: μ1> μ2> μ3 H0: μ1 ≤ μ2≤ μ3 The alternative hypothesis is: There are no significant differences among the three treatment means All pairs of means are significantly different from each other There is at least one significant mean difference: At least two means significantly differ from each other H1: μ1 ≠ μ2≠ μ3 The Critical F-value is: The F-statistic is: Your decision is: Reject the null hypothesis and conclude that…
The following data summarize the results from an independent measures study comparing three treatment conditions. I II III 5 3 6 3 3 8 1 7 5 1 4 2 5 3 4 T =15 T =20 T = 25 G = 60 SS =16 SS =12 SS =20 ΣX2 = 298 Use an ANOVA with α = .01 to determine whether there are any significant differences among the three treatment means a. The null hypothesis in symbols is b. The alternative hypothesis is c. The Critical F-value is: d. The F-statistic is: e. Your decision is
The following information was obtained from matched samples: Individual Type 1 Type 2 1 15 13 2 12 12 3 13 14 4 11 14 If the null hypothesis tested is H0: µd = 0, what is the test statistic for the difference between the two population means?
The following data summarize the results from an independent-measures study comparing three treatment conditions. I II III n = 6 n = 6 n = 6 M = 1 M = 5 M = 6 N = 18 T = 6 T = 30 T = 36 G = 72 SS = 30 SS = 35 SS = 40 ΣX2 = 477 Use an ANOVA with α = .05 to determine whether there are any significant differences among the three treatment means. Calculate η2 to measure effect size for the study. Write a sentence demonstrating how a research report would present the results of the hypothesis test and the measure of effect size.
The following are six observations collected from treatment 1, four observations collected from treatment 2, and five observations collected from treatment 3. Test the hypothesis at the 0.05 significance level that the treatment means are equal. Treatment 1 Treatment 2 Treatment 3 9 13 10 7 20 9 11 14 15 9 13 14 12 15 10 State the null and the alternate hypothesis.
Considering a treadmill test given to patients being tested for high blood pressure, male patients took their pulse rates before and after running for 5 min. (a=1) Subject 1 2 3 4 5 6 7 8 9 10 Pulse before 64 100 8a 60 92 8a 68 8a 8a 68 Pulse after 68 11a 84 68 10a 92 72 88 80 92 Using a 0.05 significance level, perform the 8-step hypothesis test to test the claim that the mean difference between the pulse rates before and after the run is significantly zero. Based on the result, do the male pulse rates taken before and after running appear to be about the same or not?

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