1. What is the range of values for a correlation coefficient?

A) X to Y

B) -1 to +1

C) 0 to 1

D) -1 to 0

E) Cannot determine

A) X to Y

B) -1 to +1

C) 0 to 1

D) -1 to 0

E) Cannot determine

2. Here are pairs of scores.

**What is the correlation between X and Y?**

A) 0.75

B) 0.25

C) 0.5

D) 0.9

E) 0.8

X | 0 | 1 | 2 | |

Y | 7 | 11 | 9 |

A) 0.75

B) 0.25

C) 0.5

D) 0.9

E) 0.8

3. What effects are likely in this graph?

A) 1 main effect and 1 interaction

B) 2 main effect and 1 interaction

C) 1 main effect and no interaction

D) 1 main effect and 2 interactions

E) None of the other answers

4. What effects are likely in this graph?

A) 0 main effects and an interaction

B) 1 main effect and an interaction

C) 2 main effects and an interaction

D) 1 main effect and 2 interactions

E) 1 main effect and 3 interactions

5. A graph of an interaction will ...

A) Sometimes show parallel lines

B) Two of the other answers

C) Sometimes look like an "X"

D) Always show non-parallel lines

E) Always be qualified by a main effect

A) Sometimes show parallel lines

B) Two of the other answers

C) Sometimes look like an "X"

D) Always show non-parallel lines

E) Always be qualified by a main effect

6. What is X + Y + Z?

A) 6

B) 5

C) 9

D) 8

E) 7

7. Consider the hypothesis test that examines how study place and test Place affects memory: the scores in the groups are not related.

Assume that the scores are normally distributed (α=.05).

**What is df**_{row}, df_{col}, df_{int} and df_{within}?

A) df_{Row} = 1, df_{Col} = 2, df_{Int} = 2, df_{With} = 2

B) df_{Row} = 2, df_{Col} = 2, df_{Int} = 2, df_{With} = 1

C) df_{Row} = 1, df_{Col} = 1, df_{Int} = 1, df_{With} = 3

D) df_{Row} = 1, df_{Col} = 1, df_{Int} = 1, df_{With} = 2

E) df_{Row} = 1, df_{Col} = 1, df_{Int} = 1, df_{With} = 4

test Place |
||

study place |
test land (X_{C}=600) |
test water (X_{C}=600) |

study land (X_{R}=600) |
680, 720 (X_{j}=700) |
490, 510 (X_{j}=500) |

study water (X_{R}=600) |
490, 510 (X_{j}=500) |
680, 720 (X_{j}=700) |

X_{G}=600 |

A) df

B) df

C) df

D) df

E) df

8. Consider the hypothesis test that examines how study place and test Place affects memory: the scores in the groups are not related.

Assume that the scores are normally distributed (α=.05).

**What is MS**_{row}, MS_{col}, MS_{int} and MS_{within}?

A) MS_{Row} = 0, MS_{Col} = 0, MS_{Int} = 80000, MS_{With} = 500

B) MS_{Row} = 80000, MS_{Col} = 0, MS_{Int} = 0, MS_{With} = 500

C) MS_{Row} = 0, MS_{Col} = 0, MS_{Int} = 500, MS_{With} = 8000

D) MS_{Row} = 5000, MS_{Col} = 0, MS_{Int} = 80000, MS_{With} = 0

E) MS_{Row} = 0, MS_{Col} = 0, MS_{Int} = 0, MS_{With} = 5000

test Place |
||

study place |
test land (X_{C}=600) |
test water (X_{C}=600) |

study land (X_{R}=600) |
680, 720 (X_{j}=700) |
490, 510 (X_{j}=500) |

study water (X_{R}=600) |
490, 510 (X_{j}=500) |
680, 720 (X_{j}=700) |

X_{G}=600 |

A) MS

B) MS

C) MS

D) MS

E) MS

9. Consider the hypothesis test that examines how gender and number of Bystanders affects response time to an emergency: the scores in the groups are not related.

Assume that the scores are normally distributed (α=.05).

SS_{Row}=36.75, SS_{Column}=2, SS_{Int}=2, SS_{Within}=1.5

**What are observed F values for the three effects? **

A) F-Row_{Obs} = 37, F-Col_{Obs} = 4, F-Int_{Obs} = 4

B) F-Row_{Obs} = 36, F-Col_{Obs} = 40, F-Int_{Obs} = 4

C) F-Row_{Obs} = 37, F-Col_{Obs} = 40, F-Int_{Obs} = 4

D) F-Row_{Obs} = 147, F-Col_{Obs} = 4, F-Int_{Obs} = 4

E) F-Row_{Obs} = 36, F-Col_{Obs} = 4, F-Int_{Obs} = 4

number of Bystanders |
|||

gender |
alone (X_{C}=3.75) |
2 People (X_{C}=4.25) |
4 People (X_{C}=4.75) |

males (X_{R}=2.5) |
1, 2 (X_{j}=1.5) |
2, 3 (X_{j}=2.5) |
3, 4 (X_{j}=3.5) |

females (X_{R}=6) |
6, 6 (X_{j}=6) |
6, 6 (X_{j}=6) |
6, 6 (X_{j}=6) |

X_{G}=4.25 |

SS

A) F-Row

B) F-Row

C) F-Row

D) F-Row

E) F-Row

10. What is the null hypothesis for a two-way between subjects ANOVA?

A) None of the other answers

B) Three of the other answers

C) H_{0}: μ_{Column 1} = μ_{Column 2} (for more groups add more column means)

D) H_{0}: All Interactions = 0

E) H_{0}: μ_{Row 1} = μ_{Row 2 } (for more groups add more row means)

A) None of the other answers

B) Three of the other answers

C) H

D) H

E) H

11. What is a qualified main effect?

A) An effect that exists along with an interaction

B) An effect that is definitely caused by the interaction

C) An effect that is ready to do the job

D) An effect which exceeds the critical value, but only by a little bit

E) An effect which has a small effect size

A) An effect that exists along with an interaction

B) An effect that is definitely caused by the interaction

C) An effect that is ready to do the job

D) An effect which exceeds the critical value, but only by a little bit

E) An effect which has a small effect size

12. If I wanted to examine the effects of gender, race and SES on political affiliation, what kind of ANOVA would I use?

A) None of the other answers

B) One-way Between subjects ANOVA with three levels

C) One-way Within subjects ANOVA with three levels

D) Two-way Between subjects ANOVA

E) Two of the other answers

A) None of the other answers

B) One-way Between subjects ANOVA with three levels

C) One-way Within subjects ANOVA with three levels

D) Two-way Between subjects ANOVA

E) Two of the other answers

13. If I want to see how the number of cookies eaten each year relates to the amount of milk consumed (in quarts) each year, what kind of analysis should I perform?

A) Chi-Square

B) One Way ANOVA

C) Two Way ANOVA

D) None of the other answers

E) Correlation

A) Chi-Square

B) One Way ANOVA

C) Two Way ANOVA

D) None of the other answers

E) Correlation

14. If knowing X reduces the error of guessing Y by .49, then what is the correlation between X and Y?

A) -0.7

B) cannot determine

C) .2401

D) two of the other answers

E) 0.7

A) -0.7

B) cannot determine

C) .2401

D) two of the other answers

E) 0.7

15. What are the limitations of a correlation analysis?

1) Should only be used when X and Y do not have any variance

2) Should only be used with linear associations

3) Should only be used when there no outliers

4) Should only be used when X and Y are both nominal variables

A) 1,2 and 3

B) 3

C) 2

D) none of the other answers

E) 2 and 3

1) Should only be used when X and Y do not have any variance

2) Should only be used with linear associations

3) Should only be used when there no outliers

4) Should only be used when X and Y are both nominal variables

A) 1,2 and 3

B) 3

C) 2

D) none of the other answers

E) 2 and 3

16. In a set of 25 pairs of scores, the first and the second score always add up to 123. What is the correlation between the two variables?

A) cannot determine

B) two of the other answers

C) -1

D) 0

E) 1

A) cannot determine

B) two of the other answers

C) -1

D) 0

E) 1

17. In a set of 25 pairs of scores (X and Y), it is always true the Y=177X - 1223.444.

What is the correlation between the two variables?

A) -1

B) 0

C) Cannot determine

D) None of the other answers

E) 1

What is the correlation between the two variables?

A) -1

B) 0

C) Cannot determine

D) None of the other answers

E) 1

18. IF Y=X^{2}, is it possible to take 3 different pairs of scores that have a correlation of 1?

A) Yes, But only if X and Y are both normal

B) No

C) Yes, because you can make a straight line of 3 points

D) Cannot determine

E) Yes, but only if there are no outliers

A) Yes, But only if X and Y are both normal

B) No

C) Yes, because you can make a straight line of 3 points

D) Cannot determine

E) Yes, but only if there are no outliers

19. What is the range of values for R^{2}?

A) 0 to 1

B) -1 to +1

C) -1 to 0

D) Cannot determine

E) X to Y

A) 0 to 1

B) -1 to +1

C) -1 to 0

D) Cannot determine

E) X to Y

20. If the Z score of a husband's age and the Z score of the wife's age always add up to 0, and none of the Z scores are 0,then what is the correlation between the ages of husbands and wives?

A) 1

B) Cannot determine

C) 0

D) -1 or 1

E) -1

A) 1

B) Cannot determine

C) 0

D) -1 or 1

E) -1

Subject | General |

Due By (Pacific Time) | 09/12/2013 11:00 am |

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