Answer the Following Questions:

1. Jackson, even-numbered Chapter Exercises, pp. 335-337.

a. How many independents variable are in 4 x 6 factorial design? How many conditions (cells) are in this design?

b. What is the differences between a cell ( Condition) mean ad the means used to interpret a main effect?

d. What is the differences between a complete factorial design and a incomplete factorial design?

e. Explain the difference between a two- story ANOVA and a three-way ANOVA.

f. Complete each of the following ANOVA summary tables. In addition answer the following question for each of the ANOVA summary tables?

1. What is the factorial notation?

2. How many condition were in the study ?

3. How many subjects were in the study?

4. Identify significant main effects and

Source df SS MS F

A 1 60

B 2 40

A x B 2 90

Error 30

Total 35 390

Source df SS MS F

A 2 40

B 3 60

A x B 6 150

Error 72

Total 83 400

Source df SS MS F

A 1 10

B 1 60

A x B 1 20

Error 36

Total 39 150

A researcher is attempting to determine the effects of a practice and gender on a timed task. Participants in an experiment are given an computerized search task. They search a computer screen of various characters and attempt to find a particular character, they press a button to stop a timer. Their reaction time in seconds on each trial is recorded. Subjects practice for 2, 4, or 6 hours and are either female or male. The reaction time data for the 30 subjects appear here.

Women Men

2 Hours 12 11

13 12

12 13

11 12

11 11

4 Hours 10 8

10 8

8 10

7 9

6 Hours 7 5

5 6

7 8

6 6

7 8

Source df SS MS F

Gender .027

Practice 140.60

Gender x Practice .073

Error 28.00

Total 168.70

a. Complete the ANOVA summary table.

b. Are the values of Fobt significant at a=.05

c. What conclusion can be drawn from the F-rations

d. What is the effect size and what does this mean

(just the even ones)

(Note that I typed it out but I also print screened just in case I missed something)

2. Explain the difference between multiple independent variables and multiple levels of independent variables. Which is better?

3. What is blocking and how does it reduce “noise”? What is a disadvantage of blocking?

4. What is a factor? How can the use of factors benefit a design?

5. Explain main effects and interaction effects.

6. How does a covariate reduce noise?

7. Describe and explain three trade-offs present in experiments.

Support your paper with a minimum of 5 resources. In addition to these specified resources, other appropriate scholarly resources, including older articles, may be included.

Length: 5-7 pages not including title and reference pages

References: Minimum of 5 scholarly resources.

Subject | General |

Due By (Pacific Time) | 10/22/2014 12:00 am |

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