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: MS within:
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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:
MS within:
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- Urban Travel Times Population of cities and driving times are related, as shown in the accompanying table, which shows the 1960 population N, in thousands, for several cities, together with the average time T, in minutes, sent by residents driving to work. City Population N Driving time T Los Angeles 6489 16.8 Pittsburgh 1804 12.6 Washington 1808 14.3 Hutchinson 38 6.1 Nashville 347 10.8 Tallahassee 48 7.3 An analysis of these data, along with data from 17 other cities in the United States and Canada, led to a power model of average driving time as a function of population. a Construct a power model of driving time in minutes as a function of population measured in thousands b Is average driving time in Pittsburgh more or less than would be expected from its population? c If you wish to move to a smaller city to reduce your average driving time to work by 25, how much smaller should the city be?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: SS Total: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: SS within:
- 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: SS between: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 = 6The 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 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 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. 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 F-statistic is: b. Your decision is
- 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 HSDThe following data are from an experiment comparing two treatment conditions. Do these data indicate a significant difference between the treatment at the levels of .05 level of significance. Treatment 1 Treatment 2 13 9 9 5 7 5 11 9The 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…
