The following data were obtained from a repeated-measures study comparing three treatment conditions. Use a repeated-measures ANOVA with α = .05 to determine whether there are significant mean differences among the three treatments. Treatments Person I II III Person Totals A 0 4 2 P = 6 B 1 5 6 P = 12 N = 18 C 3 3 3 P = 9 G = 48 D 0 1 5 P = 6 ΣX2 = 184 E 0 2 4 P = 6 F 2 3 4 P =9 M = 1 M = 3 M = 4 T = 6 T = 18 T = 24 SS = 8 SS = 10 SS = 10
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The following data were obtained from a repeated-measures study comparing three treatment conditions. Use a repeated-measures ANOVA with α = .05 to determine whether there are significant
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|
Treatments |
|
|
||
|
Person |
I |
II |
III |
Person Totals |
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|
A |
0 |
4 |
2 |
P = 6 |
|
|
B |
1 |
5 |
6 |
P = 12 |
N = 18 |
|
C |
3 |
3 |
3 |
P = 9 |
G = 48 |
|
D |
0 |
1 |
5 |
P = 6 |
ΣX2 = 184 |
|
E |
0 |
2 |
4 |
P = 6 |
|
|
F |
2 |
3 |
4 |
P =9 |
|
|
|
M = 1 |
M = 3 |
M = 4 |
|
|
|
|
T = 6 |
T = 18 |
T = 24 |
|
|
|
|
SS = 8 |
SS = 10 |
SS = 10 |
|
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- The following data were obtained from an independent-measures research study comparing three treatment conditions. Use an ANOVA with α = .05 to determine whether there are any significant mean differences among the treatments. Treatment I II III n = 8 n = 6 n = 4 N = 18 T = 16 T = 24 T = 32 G = 72 SS = 40 SS = 24 SS = 16 EX2 = 464A researcher wanted to examine whether type of dog food (freeze dried meat vs generic brand kibble) would affect dogs’ attention span. The researcher hypothesized that dogs who ate freeze dried meat would have longer attention spans than those who ate generic brand kibble. The researcher used a single sample of 13 subjects, that took part in both treatment conditions. The researcher set the alpha level at .01. The mean of the difference scores (MD)was 7.0 and the SSDfor the difference in attention spans was 144. What is the calculated test statistic to the nearest thousandth? Be sure to put the positive or negative sign in front of it. Note: SHOW ALL WORK!!! Based on your work above, do you reject or retain the null? reject retain Based on your conclusion regarding the null, was there a treatment effect? Yes NoA researcher wanted to examine whether type of dog food (freeze dried meat vs generic brand kibble) would affect dogs’ attention span. The researcher hypothesized that dogs who ate freeze dried meat would have longer attention spans than those who ate generic brand kibble. The researcher used a single sample of 13 subjects, that took part in both treatment conditions. The researcher set the alpha level at .01. The mean of the difference scores (MD)was 7.0 and the SSDfor the difference in attention spans was 144. What is the calculated test statistic to the nearest thousandth? Be sure to put the positive or negative sign in front of it. Note: SHOW ALL WORK!!!
- A researcher wanted to examine whether type of dog food (freeze dried meat vs generic brand kibble) would affect dogs’ attention span. The researcher hypothesized that dogs who ate freeze dried meat would have longer attention spans than those who ate generic brand kibble. The researcher used a single sample of 13 subjects, that took part in both treatment conditions. The researcher set the alpha level at .01. The mean of the difference scores (MD)was 7.0 and the SSD for the difference in attention spans was 144. What is the calculated test statistic to the nearest thousandth? Be sure to put the positive or negative sign in front of it. Note: SHOW ALL WORK!!! Based on your work above, do you reject or retain the null? reject retain Based on your conclusion regarding the null, was there a treatment effect? Yes NoThe following results are from an independent-measures, two-factor study with n = 10 participants in each treatment condition. Factor A: Factor B: A₁ A₂ B₁ n = 10 M = 4 T = 40 SS = 50 n = 10 M = 5 T = 50 SS = 60 ΣΧ2 = 640 Factor B: B₂ n = 10 M = 1 T = 10 SS = 30 n = 10 M = 2 T = 20 SS = 40The 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 two treatment conditions. Use an independent-measures t test with α = .05 to determine whether there is a significant mean difference between the two treatments. Use an ANOVA with α = .05 to determine whether there is a significant mean difference between the two treatments. Treatment I II 8 2 N = 10 7 3 G = 50 6 3 ΣX2 = 306 5 5 9 2 M = 7 T = 35 M = 3 T = 15 SS = 10 SS = 6
- Suppose the National Transportation Safety Board (NTSB) wants to examine the safety of compact cars, midsize cars, and full-size cars. It collects a sample of three for each of the treatments (cars types). Using the hypothetical data provided below, test whether the mean pressure applied to the driver’s head during a crash test is equal for each types of car. Use α = .05. Use a post hoc test to determine which pairs of mean are significantly different. Explain in what way are they different. Car: Compact Midsize Full-size 1 643 469 484 2 655 427 456 3 702 525 402 M 666.67 473.67 447.33 s 31.18 49.17 41.68 SS 1944.39 4835. 38 3474.45 Source SS df MS F Between 86049.556 2 43024.778 25.1749 Within 10254.22 6 1709.0367 Total 96303.776 8In a test of the effectiveness of garlic for lowering cholesterol, 41 senior citizens were treated with garlic in a processed tablet form. Cholesterol levels were measured before and after the treatment. The changes in their levels of LDL cholesterol (in mg/dL) have an average (mean) of 3.8. Identify the sample, the population, the sample statistic, and the population parameter in this study.The following data were obtained from an independent-measures research study comparing three treatment conditions. Use an ANOVA with α = .05 to determine whether there are any significant mean differences among the treatments. Treatment I II III 2 5 7 N = 14 5 2 3 G = 42 0 1 6 ΣX2 = 182 1 2 4 2 2 T = 12 T = 10 T = 20 SS = 14 SS = 9 SS = 10