The following data represent the results from an independent-measures study comparing two treatment conditions. Treatment One...
The following data represent the results from an independent-measures study comparing two treatment conditions.
| Treatment One |
Treatment Two |
|---|---|
| 7.4 | 5.4 |
| 5.4 | 2.4 |
| 7.5 | 4.7 |
| 6.3 | 5.9 |
| 6.6 | 5.3 |
| 8.7 | 3.7 |
| 6.8 | 2.3 |
Run the single-factor ANOVA for this data:
F-ratio:
p-value:
Now, run the t test on the same data:
t-statistic:
p-value:
Consider how these are the same or different.
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The following data represent the results from an
independent-measures study comparing two treatment conditions.
Treatment
One...
The following data represent the results from an independent-measures study comparing two treatment conditions. Treatment Treatment...
The following data represent the results from an independent-measures study comparing two treatment conditions. Treatment Treatment One Two 2.5 7.2 5.2 7.6 5.8 4.4 6.3 4.5 4.7 5.2 4.8 3 Using technology, run the One-way ANOVA Test for this data: F-ratio: p-value: Now, run the Two Independent Sample t test on the same data: Note: Do this with "pooled variances" since one assumption we make with ANOVA is that the variances for each group are equal. t-statistic: p-value: Do you...
The following data represent the results from an independent-measures experiment comparing three treatment conditions. Use StatCrunch...
The following data represent the results from an independent-measures experiment comparing three treatment conditions. Use StatCrunch to conduct an analysis of variance with a = 0.05 to determine whether these data are sufficient to conclude that there are significant differences between the treatments. Treatment A Treatment B Treatment C 5 5 12 3 6 6 5 4 10 4 7 9 3 3 8 F-ratio = p-value = Conclusion: There is a significant difference between treatments These data do not...
The following data represent the results from an independent-measures experiment comparing three treatment conditions. Use a...
The following data represent the results from an independent-measures experiment comparing three treatment conditions. Use a spreadsheet to conduct an analysis of variance with a = whether these data are sufficient to conclude that there are significant differences between the 0.05 to determine treatments. Treatment A Treatment B Treatment 19 22 24 20 20 25 20 19 26 20 21 22 21 23 28 F-ratio = p-value - Conclusion: There is a significant difference between treatments These data do not...
The following data represent the results from an independent-measures study comparing three treatments. Treatment I II...
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Parametirc test or not: Test statistic: p-value: decision: Is There A Difference Between the Means?
Parametirc test or not:Test statistic:p-value:decision:Is There A Difference Between the Means?6.7 6.2 3.1 310.3 10 5 5.56.9 5.5 3.3 3.110.5 6.3 4.3 5.44.5 4.6 1.8 25.6 5.6 2 2.65.9 6.1 2.1 2.58 11.7 4 4.68 7.4 3.3 3.15.8 5.2 3.1 2.96 7.3 3.0 3.28.7 5.3 2.7 36 5.5 2.1 2.27.2 6.3 3.5 3.25.9 4.6 2.9 3.46 7.4 3 3.37.2 7.8 3.7 3.48.6 9.4 5.1 5.77.2 8.1 2.8 3.15.8 5.4 2.2 1.83.3 4 1.7 1.86.8 5.1 2 1.83.7 3.5 2.2 2.112...
1. The following data represent the results from an independent-measures experiment comparing three treatment conditions. Use an analysis...
1. The following data represent the results from an independent-measures experiment comparing three treatment conditions. Use an analysis of variance with α = .05 to determine whether these data are sufficient to conclude that there are significant differences between the treatments. You do not need to do post-hoc tests. Treatments 1 2 3 2 6 6 N = 12 4 6 10 G = 60 2 2 10 ∑X2 = 408 0 6 6 T = 8 T = 20 T = 32 SS = 8 SS = 12 SS = 16 2. A researcher reports an F-ratio with df =...
The following data represent the results from an independent-measures experiment comparing three treatment conditions. Use an...
The following data represent the results from an independent-measures experiment comparing three treatment conditions. Use an analysis of variance with α = .05 to determine whether these data are sufficient to conclude that there are significant differences between the treatments (Hint: start by filling in the missing values on the table below). Be sure to show all formulas with symbols (and plug in numbers), steps, processes and calculations for all steps and all parts of all answers. Treatment 1 Treatment...
The data on the below shows the number of hours a particular drug is in the...
The data on the below shows the number of hours a particular drug is in the system of 200 females. Develop a histogram of this data according to the following intervals: Follow the directions. Test the hypothesis that these data are distributed exponentially. Determine the test statistic. Round to two decimal places. (sort the data first) [0, 3) [3, 6) [6, 9) [9, 12) [12, 18) [18, 24) [24, infinity) 34.7 11.8 10 7.8 2.8 20 9.8 20.4 1.2 7.2...
The data below are from an independent-measures experiment comparing three different treatment conditions. Treatment 1 Treatment...
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An independent-measures study comparing two treatment conditions produces a t statistic with df = 18. If...
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The following data represent the results from an independent-measures study comparing two treatment conditions. Treatment Treatment One Two 2.5 7.2 5.2 7.6 5.8 4.4 6.3 4.5 4.7 5.2 4.8 3 Using technology, run the One-way ANOVA Test for this data: F-ratio: p-value: Now, run the Two Independent Sample t test on the same data: Note: Do this with "pooled variances" since one assumption we make with ANOVA is that the variances for each group are equal. t-statistic: p-value: Do you...
The following data represent the results from an independent-measures experiment comparing three treatment conditions. Use StatCrunch to conduct an analysis of variance with a = 0.05 to determine whether these data are sufficient to conclude that there are significant differences between the treatments. Treatment A Treatment B Treatment C 5 5 12 3 6 6 5 4 10 4 7 9 3 3 8 F-ratio = p-value = Conclusion: There is a significant difference between treatments These data do not...
The following data represent the results from an independent-measures experiment comparing three treatment conditions. Use a spreadsheet to conduct an analysis of variance with a = whether these data are sufficient to conclude that there are significant differences between the 0.05 to determine treatments. Treatment A Treatment B Treatment 19 22 24 20 20 25 20 19 26 20 21 22 21 23 28 F-ratio = p-value - Conclusion: There is a significant difference between treatments These data do not...
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