Question 1

A significant Pearson r (of any value) means that some information about is being contained in X.

Accepted Answer

A) True 
 B)False

Question 2

Calculate the t ratio and make a statistical decision at the .05 level for the following combinations of r and N.
a. r = .18 and N = 122
b. r = .92 and N = 5
c. r = .45 and N = 12
d. r = .38 and N = 28

Accepted Answer

a. t=2.004 Reject Ho Sig
b. t=

Question 3

When the array of points on a scatter plot slopes from lower left to upper right, then

Accepted Answer

A)  the correlation is positive 
B)  the correlation is negative 
C)  there is no correlation 
D)  no predictions can be made 
A)  the correlation is positive 
B)  the correlation is negative 
C)  there is no correlation 
D)  no predictions can be made

Question 4

The Pearson r has the potential for yielding its highest numerical value when both sampling distributions, X and Y, represent the entire range of normally distributed values.

Accepted Answer

A) True 
 B)False

Question 5

When variable A correlates highly with B, then

Accepted Answer

A)  A has caused B 
B)  B has caused A 
C)  variable B correlates highly with A 
D)  none of these 
A)  A has caused B 
B)  B has caused A 
C)  variable B correlates highly with A 
D)  none of these

Question 6

The higher the value of the Pearson r, the lower the value of the coefficient of determination.

Accepted Answer

A) True 
 B)False

Question 7

The Following Questions will be based on the following: 
A group of 10 college seniors was randomly selected and given a WAIS-III IQ test. The IQs were recorded and then compared with each student's rank in class. The data are as follows: $$\begin{array} { l c c } 
\text { Student\# } & \text { IQ } & \text { Rank In Class } \
\text { 1. } & 120 & 1 \
\text { 2. } & 125 & 2 \
\text { 3. } & 122 & 3 \
\text { 4. } & 110 & 4 \
\text { 5. } & 95 & 5 \
\text { 6. } & 105 & 6 \
\text { 7. } & 100 & 7 \
8 . & 110 & 8 \
9 . & 100 & 9 \
10 . & 94 & 10
\end{array}$$
-Is the correlation significant?

Accepted Answer

The answer of The Following Questions will be based on...

Question 8

When a correlation is not significant, it means that

Accepted Answer

A)  There is a failure to reject Ho 
B)  the correlation can't be generalized to the population 
C)  the correlation is negative 
D)  a and b, but not c 
A)  There is a failure to reject Ho 
B)  the correlation can't be generalized to the population 
C)  the correlation is negative 
D)  a and b, but not c

Question 9

The originator of the product-moment correlation technique was

Accepted Answer

A)  Karl Gauss 
B)  Blaise Pascal 
C)  Karl Pearson 
D)  Alexandra McKenna 
A)  Karl Gauss 
B)  Blaise Pascal 
C)  Karl Pearson 
D)  Alexandra McKenna

Question 10

A study was done to determine if a correlation exists between age of first arrest and the number of years of education an inmate had. A random sample was selected from the male population of a certain house of correction and their first-arrest ages were tallied along with their years of education. $$\begin{array}{l}
\text { Subj\#} &\text { Age first arrest }&\text { Education Years }\

1 & 15 & 8 \
2 & 17 & 9 \
3 & 32 & 12 \
4 & 25 & 11 \
5 & 42 & 16 \
6 & 18 & 11 \
7 & 20 & 10 \
8 & 19 & 9 \
9 & 20 & 11 \
10 & 16 & 10

\end{array}$$
-Is it significant?

Accepted Answer

Yes, signi

Question 11

The Pearson r may be used to test the hypothesis of

Accepted Answer

A)  difference 
B)  association 
C)  central limit 
D)  all of these 
A)  difference 
B)  association 
C)  central limit 
D)  all of these

A significant Pearson r (of any value) means that some information about is being contained in X.

Calculate the t ratio and make a statistical decision at the .05 level for the following combinations of r and N. a. r = .18 and N = 122 b. r = .92 and N = 5 c. r = .45 and N = 12 d. r = .38 and N = 28

When the array of points on a scatter plot slopes from lower left to upper right, then

The Pearson r has the potential for yielding its highest numerical value when both sampling distributions, X and Y, represent the entire range of normally distributed values.

When variable A correlates highly with B, then

The higher the value of the Pearson r, the lower the value of the coefficient of determination.

When a correlation is not significant, it means that

The originator of the product-moment correlation technique was

The Pearson r may be used to test the hypothesis of

Introduction to Statistics

Percentages, Graphs and Measures of Central Tendency

Measures of Variability

The Normal Curve and Z Score

Z Scores, T Scores and Other Normal Curve Transformations

Probability

Statistics and Parameters

Parameter Estimates

The Fundamentals of Research Methodology

The Hypothesis of Difference

Analysis of Variance

Nominal Categorical Data and the Chi Square

Regression Analysis

Repeated-Measures and Matched-Subjects Designs Interval Data

Non-Parametrics Revisited: the Ordinal Case

Tests and Measurements

Filters

Exam 11: The Hypothesis of Association: Correlation

A significant Pearson r (of any value) means that some information about is being contained in X.

Calculate the t ratio and make a statistical decision at the .05 level for the following combinations of r and N. a. r = .18 and N = 122 b. r = .92 and N = 5 c. r = .45 and N = 12 d. r = .38 and N = 28

When the array of points on a scatter plot slopes from lower left to upper right, then

The Pearson r has the potential for yielding its highest numerical value when both sampling distributions, X and Y, represent the entire range of normally distributed values.

When variable A correlates highly with B, then

The higher the value of the Pearson r, the lower the value of the coefficient of determination.

When a correlation is not significant, it means that

The originator of the product-moment correlation technique was

The Pearson r may be used to test the hypothesis of

Introduction to Statistics

Percentages, Graphs and Measures of Central Tendency

Measures of Variability

The Normal Curve and Z Score

Z Scores, T Scores and Other Normal Curve Transformations

Probability

Statistics and Parameters

Parameter Estimates

The Fundamentals of Research Methodology

The Hypothesis of Difference

Analysis of Variance

Nominal Categorical Data and the Chi Square

Regression Analysis

Repeated-Measures and Matched-Subjects Designs Interval Data

Non-Parametrics Revisited: the Ordinal Case

Tests and Measurements

Filters