Academic Integrity: tutoring, explanations, and feedback — we don’t complete graded work or submit on a student’s behalf.

Many college instructors prefer to have their students participate actively in c

ID: 3233231 • Letter: M

Question

Many college instructors prefer to have their students participate actively in class. Ideally, students will ask their professor questions and answer their professor's questions, making the classroom experience more interesting and useful. A statistics professor believes that there are a number of external factors that affect student participation. He believes that the time of day and the configuration of seats are two such factors. Consequently, he organized the following experiment. Six classes of about 60 students each were scheduled for one semester. Two classes were scheduled at 9:00 AM, two at 1:00 PM, and two at 4:00 PM. At each of the three times, one of the classes was assigned to a room where the seats were arranged in rows of 10 seats. The other class was a U-shaped, tiered room, where students not only face the instructor, but face their fellow students as well. In each of the six classrooms, over five days, student participation was measured by counting the number of times students asked and answered questions. These data are displayed in the accompanying table. (Xr14-97)

PART 1: How many factors are there in this experiment?

PART 2: What are the factors?

PART 3: What is the response variable?

PART 4: Identify the levels of each factor.

PART 5: What conclusions can the professor draw from these data?

Class 9:00am 1:00pm 4:00pm Rows 10 9 7 Rows 7 12 12 Rows 9 12 9 Rows 6 14 20 Rows 8 8 7 U-Shape 15 4 7 U-Shape 18 4 4 U-Shape 11 7 9 U-Shape 13 4 8 U-Shape 13 6 7

Explanation / Answer

Answer:

Many college instructors prefer to have their students participate actively in class. Ideally, students will ask their professor questions and answer their professor's questions, making the classroom experience more interesting and useful. A statistics professor believes that there are a number of external factors that affect student participation. He believes that the time of day and the configuration of seats are two such factors. Consequently, he organized the following experiment. Six classes of about 60 students each were scheduled for one semester. Two classes were scheduled at 9:00 AM, two at 1:00 PM, and two at 4:00 PM. At each of the three times, one of the classes was assigned to a room where the seats were arranged in rows of 10 seats. The other class was a U-shaped, tiered room, where students not only face the instructor, but face their fellow students as well. In each of the six classrooms, over five days, student participation was measured by counting the number of times students asked and answered questions. These data are displayed in the accompanying table. (Xr14-97)

PART 1: How many factors are there in this experiment?

2 factors

PART 2: What are the factors?

Time of day and the configuration of seats are the two factors

PART 3: What is the response variable?

The number of times students asked and answered questions

PART 4: Identify the levels of each factor.

Class: 2 levels.

Time: 3 levels

PART 5: What conclusions can the professor draw from these data?

Two factor ANOVA

Factor 2

Means:

9:00am

1:00pm

4:00pm

Rows

8.0

11.0

11.0

10.0

Factor 1

U-Shape

14.0

5.0

7.0

8.7

11.0

8.0

9.0

9.3

5

replications per cell

ANOVA table

Source

SS

   df

MS

F

   p-value

Factor 1

13.33

1

13.333

1.58

.2203

Factor 2

46.67

2

23.333

2.77

.0826

Interaction

206.67

2

103.333

12.28

.0002

Error

202.00

24

8.417

Total

468.67

29

To test for class effect, calculated F=1.58, P=0.2203 which is > 0.05 level. Ho is not rejected.

There is no significant class effect.

To test for time effect, calculated F=2.77, P=0.0826 which is > 0.05 level. Ho is not rejected.

There is no significant time effect.

To test for interaction effect, calculated F=12.28, P=0.0002 which is < 0.05 level. Ho is rejected.

There is significant interaction effect.

Two factor ANOVA

Factor 2

Means:

9:00am

1:00pm

4:00pm

Rows

8.0

11.0

11.0

10.0

Factor 1

U-Shape

14.0

5.0

7.0

8.7

11.0

8.0

9.0

9.3

5

replications per cell

ANOVA table

Source

SS

   df

MS

F

   p-value

Factor 1

13.33

1

13.333

1.58

.2203

Factor 2

46.67

2

23.333

2.77

.0826

Interaction

206.67

2

103.333

12.28

.0002

Error

202.00

24

8.417

Total

468.67

29

Hire Me For All Your Tutoring Needs
Integrity-first tutoring: clear explanations, guidance, and feedback.
Drop an Email at
drjack9650@gmail.com
Chat Now And Get Quote