# 1. For which of the following Pearson correlations would the data points cluster most closely aro

1. For which of the following Pearson correlations would the data points
cluster most closely around a straight line {think about best-fitting line}?

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1. For which of the following Pearson correlations would the data points cluster most closely aro
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r = -0.10

d. There is no relationship between correlation and how close the points
are to a straight line.

r = -0.70

r = + 0.40

1 points

QUESTION 2
1. A researcher measures driving distance from college and weekly cost of
gas for a group of commuting college students. What kind of correlation is likely
to be obtained for these two variables?

A
negati
ve
correl
ation

A
correl
ation
near
zero

A positive
correl
ation

A
correl
ation
near
one

1 points

QUESTION 3
1. Which of the following best describes the Pearson correlation for the following data.

X Y
2 5
5 1
3 4
4 2

Cannot
be
dete
rmin
ed

This is a
positive
correlati
on

The
corr
elati
on
is
zero

This is a
negative
correlati
on

2 points

QUESTION 4
1. How large a sample is needed for a correlation of r = 0.550 to be significant
using a two-tail test with α = .05

n n n n

1 points

QUESTION 5
1. A negative correlation means that a decrease in the X variable tends to be

accompanied by a decrease in the Y variable .
True
False

1 points

QUESTION 6
1. A Pearson correlation of r = -0.90 indicates that the data points are

clustered close to a line that slopes down to the right.
True
False

1 points

QUESTION 7
1. If the data points in a scatter plot shows a nearly circular pattern, then the

correlation is near zero.

True
False

1 points

QUESTION 8
1. GIVEN:
17 17
25 22
11 19
9 10
17 18
20 16
For the data above answer the following:

a. What are SSx and SSy
b. What is SP
c. What is the Pearson correlation r and is it significant at α = .05 two-tail test?

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Open Sans,sans-serif

10pt

P

4 points

QUESTION 9
1. GIVEN:

X Y
18 54
26 64

28 54
34 66
36 68
42 70
48 76
52 66
54 66
60 74
For the data above answer the following:

● What are SSx and SSy
● What is SP
● What is the Pearson correlation r and is it significant at α = .05 two-tail

test?

2.

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10pt

P

4 points

QUESTION 10
1. GIVEN:
X Y
0 -2
2 -5
8 14
6 3
4 0

For the data above answer the following:

a. What are SSx and SSy
b. What is SP
c. What is the Pearson correlation r and is it significant at α = .05 two-tail test?

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Paragraph

Open Sans,sans-serif

10pt

QUESTION 1
1. FILL IN THE MISSING VALUES ( ) IN THE TABLE, GO OUT 3 DECIMAL PLACES AND

ROUND OFF 2 DECIMAL PLACES
SOURCE DF SS MS F P
BETWEEN GROUPS 3 50
____
WITHIN 960
TOTAL 99 1110
What is:

1. Dfwithin

2. SSbetween

3. MSwithin
4. F
5. P { p<.05 or p <.01 or not significant}

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P

3 points

QUESTION 2

1. FOR THE DATA BELOW WHAT IS THE 1) SSwithin= __ 2) SSbetween=___

3) SStotal = __ 4) dfbetween= ___, 5) dfwithin=___ 6) MSwithin____

7) MSbetween = _______

Treatment 1 Treatment 2 Treatment 3
n = 5 n = 5 n = 5
T = 5 T = 10 T = 15
SS = 25 SS = 20 SS = 15

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P

3 points

QUESTION 3
1. An investigator feels that habitat influences song duration in a particular species of

bird. He records song duration of individual birds from three different habitats. Can you reject
the Ho, that states there are no differences among the three groups? Answer the following
questions based on the data below.
What is?

● SSbetween

● SSwithin

● SStotal

● dfbetween

● dfwithin

● dftotal

● MSwithin

● MSbetween
● F
● P { p<.05 or p <.01 or not significant}

● η2 (If significant) this is your effect size

2.
HABITAT A HABITAT B HABITAT C

4.4 6.9 9.2
3.4 7.1 8.1
6.7 5.2 8.3
3.8 4.3 7.2
4.1 8.2 9.1
5.0 8.9

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P

7 points

QUESTION 4
1. Assume that an experimenter is interested in determining the effect of shock on the time

required to solve a set of difficult problems. Subjects are randomly assigned to one of four
experimental conditions. Using one-way ANOVA can you reject the Ho that states that there
are no differences among the groups? Answer the following questions based on the data
below.
What is?

● SSbetween

● SSwithin

● SStotal

● dfbetween

● dfwithin

● dftotal

● MSwithin

● MSbetween
● F
● P { p<.05 or p <.01 or not significant

● η2 (If significant) this is your effect size

2.
GROUP 1 GROUP 2 GROUP 3 GROUP 4

10 3 19 23
7 8 12 14
9 6 16 16
8 10 14 18

15 12 13 16
3 7 16 14

11 5 15 16
5 5 19 17

17 15 14 13

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10pt

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