statistics

karni.shekhawat
assignment_3_1.doc

1. In a study to investigate the relative effectiveness of six different instructional formats with respect to student achievement at the end of the semester, data were collected on a total of 90 students taught using one of the 6 formats described below:

Method 1: 3 hour lecture weekly

Method 2: 3 hour lecture weekly + weekly tutorial

Method 3: 3 hour lecture weekly + weekly pop quizzes

Method 4: Two 90-minute lectures weekly

Method 5: Two 90-minute lectures weekly + weekly tutorials

Method 6: Two 90-minute lectures weekly + weekly pop quizzes

Descriptive statistics for each group are given below.

Dependent Variable:Acht

Group

Mean

Std. Deviation

N

1

8.4667

1.45733

15

2

10.2667

1.79151

15

3

9.2267

1.82462

15

4

10.7333

2.11919

15

5

10.7800

1.68955

15

6

12.1267

1.99516

15

Total

10.2667

2.12999

90

An ANOVA table for testing the hypothesis of equal means was constructed and is shown below.

Tests of Between-Subjects Effects

Dependent Variable:Acht

Source

Type III Sum of Squares

df

Mean Square

F

Sig.

Corrected Model

123.937a

5

24.787

7.440

.000

Intercept

9486.400

1

9486.400

2847.520

.000

Group

123.937

5

24.787

7.440

.000

Error

279.843

84

3.331

Total

9890.180

90

Corrected Total

403.780

89

a. R Squared = .307 (Adjusted R Squared = .266)

(a) Based on the ANOVA table, what would you conclude about the equality of means? Show what you used to reach your conclusion.

(b) Determine Bonferroni, Tukey, and Scheffe critical values for testing all pairwise differences among the means.

(c) Construct 95% confidence intervals for Group 1 vs. Group 2 and Group 4 vs. Group 5 using each of the three procedures above, and assuming that you intend to test all pairwise comparisons (you need to use this in the Bonferroni contrasts). Explain what each contrast represents. Which procedure is the best for identifying differences?

(d) Define a contrast to determine if students in the twice weekly lecture format have different mean achievement from those in the once weekly lecture format (averaging the means for each condition). Construct 95% confidence intervals using Scheffe and Bonferroni procedures. In using the Bonferroni procedure, assume that you also planned to test all pairwise comparisons. State your conclusion.

(e) Define a contrast to determine if the difference in mean achievement for students who got pop quizzes and students who attended tutorials is the same under the once weekly lecture format as under the twice weekly format. Think of this as (popquiz-tutorial) once weekly – (popquiz-tutorial) twice weekly. This is a difference between differences. Construct 95% confidence intervals using Scheffe and Bonferroni procedures. In using the Bonferroni procedure, assume that you also planned to test all pairwise comparisons. State your conclusion.