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:
The alternative hypothesis is:
Your decision is:
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
SS1 = 2 SS2 = 4 SS3 = 8
Use an ANOVA with an α = .05 to determine whether there are any significant differences among the three treatment means.
what correctly represents the null and alternative hypothesis?
what represents the proper critical region?
Compute the test statistic
what can be concluded?
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
SS1 = 2 SS2 = 4 SS3 = 8
1. Calculate the sample variance for treatment condition I
2.
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
SS1 = 2 SS2 = 4 SS3 = 8
1.Calculate the sample variance for treatment condition I
2. Calculate the sample variance for treatment condition II
3. Calculate the sample variance for treatment condition III
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
SS1 = 8 SS2 = 12 SS3 = 16
Use an ANOVA with α = .05 to determine whether there are any significant differences among the three treatment means.
Calculate η2 to measure the effect size for this study
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
SS1 = 8 SS2 = 12 SS3 = 16
Use an ANOVA with α = .05 to determine whether there are any significant differences among the three treatment means.
Compute the test statistic (Must also show work for SS, df, and MS values)
Based on the calculated test statistic, would you reject the null hypothesis?
Based on the previously conducted steps, we can conclude what?
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
SS1 = 8 SS2 = 12 SS3 = 16
Use an ANOVA with α = .05 to determine whether there are any significant differences among the three treatment means.
What correctly represents the null and alternative hypothesis?
What represents the proper critical region?
The following data summarize the operations during the year. Prepare a journal entry for each
transaction.
A. Purchase of raw materials on account: $3,000
B. Raw materials used by Job 1: $500
C. Raw materials used as indirect materials: $100
D. Direct labor for Job 1: $300
E. Indirect labor incurred: $50
F. Factory utilities incurred on account: $700
G. Adjusting entry for factory depreciation: $250
H. Manufacturing overhead applied as percent of direct labor: 200%
I. Job 1 is transferred to finished goods
J. Job 1 is sold: $3,000
K. Manufacturing overhead is over applied: $100
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