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 effect size ? ( I believe the S1= 1.6 and the S2= 2.89, but not sure I am even on the right track)

Calculus For The Life Sciences

2nd Edition

ISBN:9780321964038

Author:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.

Publisher:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.

Chapter1: Functions

Section1.2: The Least Square Line

Problem 8E

See similar textbooks

Similar questions

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
A community college wants to analyze the age and GPA of its students. Here is the data: Age 18 40 25 38 44 19 51 28 31 21 24 GPA 2.9 3.3 2.0 3.9 3.7 2.7 3.9 3.5 1.9 2.9 3.4 Can we say that there is a significant relationship between these variables? (Use α = .05) Type of Test: Null Hypothesis: Alternate Hypothesis: SE: Test Statistic: P-value: Decision: Sentence:
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…
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 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 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. Your decision is Fail to reject the null hypothesis and conclude that there there is at least one significant mean difference Fail to reject the null hypothesis and conclude that there are no significant differences among the three treatment conditions Reject the null hypothesis and conclude that there is at least one significant mean difference Reject the null hypothesis and conclude that there are no significant differences in mean scores among the treatment conditions b. Calculate η2 (eta squared) as a measure of the…
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 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 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 represent the results from an independent-measures study comparing three treatment conditions. Treatment I II III 5 2 7 N = 24 1 6 3 G = 72 2 2 2 ∑X² = 292 3 3 4 0 5 5 1 3 2 2 0 4 2 3 5 M = 2 M = 3 M = 4 T = 16 T = 24 T = 32 SS = 16 SS = 24 SS = 20 Use an ANOVA with α = .05 to determine whether there is a significant mean difference between the two treatments. (Round to two decimal places where needed.) Source SS df MS F Fcriticalcritical Between treatments Within treatments Total
The following data are from a repeated-measures study comparing three treatment conditions. Person Treatment Person Totals I II III A 1 4 7 P = 12 B 4 8 6 P = 18 C 2 7 9 P = 18 D 1 5 6 P = 12 M = 2 M = 6 M = 7 N = 12 T = 8 T = 24 T = 28 G = 60 SS = 6 SS = 10 SS = 6 ∑X² = 378 Use a repeated-measures ANOVA with α = .05 to determine whether there are significant mean differences among the three treatments. Complete the ANOVA table using three decimal places for MS and two for F. Source of Variation Sum of Squares ANOVA Table Mean Square F Degrees of Freedom Between treatments Within treatments Between subjects Error Total
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 conduct a post hoc analysis with Tukey’s HSD

SEE MORE QUESTIONS

Recommended textbooks for you

Calculus For The Life Sciences

Calculus

ISBN:

9780321964038

Author:

GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.

Publisher:

Pearson Addison Wesley,

Glencoe Algebra 1, Student Edition, 9780079039897…

Algebra

ISBN:

9780079039897

Author:

Carter

Publisher:

McGraw Hill

Calculus For The Life Sciences

Calculus

ISBN:

9780321964038

Author:

GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.

Publisher:

Pearson Addison Wesley,

Glencoe Algebra 1, Student Edition, 9780079039897…

Algebra

ISBN:

9780079039897

Author:

Carter

Publisher:

McGraw Hill

SEE MORE TEXTBOOKS