Question 1

A Pearson r value of .50 or higher must be significant, regardless of the sample size.

Accepted Answer

A) True 
 B)False

Question 2

In order to establish the significance of a correlation, one must know the value of the correlation coefficient and also

Accepted Answer

A)  the number of paired scores 
B)  whether it relates to other measures 
C)  Whether it specifies the direction of the association 
D)  the sign of the correlation 
A)  the number of paired scores 
B)  whether it relates to other measures 
C)  Whether it specifies the direction of the association 
D)  the sign of the correlation

Question 3

In doing a Pearson r with 10 degrees of freedom, there must have been

Accepted Answer

A)  10 separate scores 
B)  22 separate scores 
C)  10 pairs of scores 
D)  12 pairs of scores 
A)  10 separate scores 
B)  22 separate scores 
C)  10 pairs of scores 
D)  12 pairs of scores

Question 4

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: $$\begin{array} { l c c } 
\text { Student\# } & \text { IQ } & \text { Rank In Class } \
\text { 1. } & 120 & 1 \
\text { 2. } & 125 & 2 \
\text { 3. } & 122 & 3 \
\text { 4. } & 110 & 4 \
\text { 5. } & 95 & 5 \
\text { 6. } & 105 & 6 \
\text { 7. } & 100 & 7 \
8 . & 110 & 8 \
9 . & 100 & 9 \
10 . & 94 & 10
\end{array}$$
-What is the correlation between IQ and Rank in Class?

Accepted Answer

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

Question 5

Each data point on a scatter plot represents

Accepted Answer

A)  the frequency of occurrence 
B)  a pair of scores 
C)  a score on one measurement 
D)  none of these 
A)  the frequency of occurrence 
B)  a pair of scores 
C)  a score on one measurement 
D)  none of these

Question 6

A Pearson r of .70 yields a coefficient-of-determination accuracy estimate of

Accepted Answer

A)  70% 
B)  35% 
C)  49% 
D)  .05% 
A)  70% 
B)  35% 
C)  49% 
D)  .05%

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: $$\begin{array} { l c c } 
\text { Student\# } & \text { IQ } & \text { Rank In Class } \
\text { 1. } & 120 & 1 \
\text { 2. } & 125 & 2 \
\text { 3. } & 122 & 3 \
\text { 4. } & 110 & 4 \
\text { 5. } & 95 & 5 \
\text { 6. } & 105 & 6 \
\text { 7. } & 100 & 7 \
8 . & 110 & 8 \
9 . & 100 & 9 \
10 . & 94 & 10
\end{array}$$
-What conclusions might you draw?

Accepted Answer

Rank in class and IQ tend to c

Question 8

For the Pearson r, the sample size, not the value of r, determines the number of degrees of freedom.

Accepted Answer

A) True 
 B)False

Question 9

If the correlation between TV viewing and GPA were significant, then the only valid conclusion one can draw from these data, is that

Accepted Answer

A)  TV viewing lowers GPA 
B)  TV viewing increases GPA 
C)  TV viewing is independent of GPA 
D)  A knowledge of TV viewing time allows for the prediction of GPA 
A)  TV viewing lowers GPA 
B)  TV viewing increases GPA 
C)  TV viewing is independent of GPA 
D)  A knowledge of TV viewing time allows for the prediction of GPA

Question 10

Negative correlations

Accepted Answer

A)  may never be significant 
B)  may never be used for prediction 
C)  may never generalize to the population 
D)  none of these 
A)  may never be significant 
B)  may never be used for prediction 
C)  may never generalize to the population 
D)  none of these

Question 11

For a given number of degrees of freedom, when the obtained r is equal to the critical tabled value of r, then

Accepted Answer

A)  There is a failure to reject Ho 
B)  Ho is rejected 
C)  Ho is re-written as Ha 
D)  Ho cannot be evaluated 
A)  There is a failure to reject Ho 
B)  Ho is rejected 
C)  Ho is re-written as Ha 
D)  Ho cannot be evaluated

Question 12

Whenever ordinal data are converted into interval data,

Accepted Answer

A)  the tied ordinal scores must be averaged, and assigned the same interval value 
B)  the tied ordinal scores must be eliminated from the analysis 
C)  the tied ordinal scores must be assigned different interval values 
D)  none of these, since ordinal data should not be converted into interval 
A)  the tied ordinal scores must be averaged, and assigned the same interval value 
B)  the tied ordinal scores must be eliminated from the analysis 
C)  the tied ordinal scores must be assigned different interval values 
D)  none of these, since ordinal data should not be converted into interval

Question 13

For the Pearson r, as the sample size increases, so also will

Accepted Answer

A)  the degrees of freedom 
B)  the alpha level 
C)  the number of measures taken on each subject 
D)  none of these, since sample size is not relevant to the Pearson r 
A)  the degrees of freedom 
B)  the alpha level 
C)  the number of measures taken on each subject 
D)  none of these, since sample size is not relevant to the Pearson r

Question 14

A researcher has computed two significant Pearson r values from independent random samples. Sample A, 163 subjects, produced an r of .40 and Sample B, 158 subjects, produced an r of .20. Do the two sample correlations represent a common population correlation?

Accepted Answer

z=1.960 Reject Ho p<

Question 15

The Pearson r may only be used when the data form is at least

Accepted Answer

A)  nominal 
B)  ordinal 
C)  interval 
D)  ratio 
A)  nominal 
B)  ordinal 
C)  interval 
D)  ratio

Question 16

For the Pearson r, rejecting Ho with an alpha of .05, means that

Accepted Answer

A)  the correlation is not significant 
B)  there is no possibility that Ho should have been accepted 
C)  the probability is .95 that Ho should have been accepted 
D)  the probability is .05 that Ho should have been accepted 
A)  the correlation is not significant 
B)  there is no possibility that Ho should have been accepted 
C)  the probability is .95 that Ho should have been accepted 
D)  the probability is .05 that Ho should have been accepted

Question 17

If these data were to be placed on a scatter plot, the general slope of the array of data points would be

Accepted Answer

A)  straight across 
B)  upper left to lower right 
C)  lower left to upper right 
D)  U shaped 
A)  straight across 
B)  upper left to lower right 
C)  lower left to upper right 
D)  U shaped

Question 18

A researcher wishes to find out whether there is a dependable relationship between the severity of earthquakes and temperature for the 7 days immediately preceding the quake. A sample of 10 measured earthquakes was randomly selected from those recorded since 1965. For each area both the Richter value (higher value meaning more severe quakes) and the mean temperature for the 7 days preceding the quakes were recorded. The data follow: $$\begin{array} { l c l } 
\text { Area } & \text { Richter Scale Value } & \text { Mean Temperature } \
\text { A } & 8.0 & 65 \
\text { B } & 7.0 & 67 \
\text { C } & 4.9 & 70 \
\text { D } & 6.5 & 66 \
\text { E } & 5.0 & 65 \
\text { F } & 5.5 & 60 \
\text { G } & 5.0 & 63 \
\text { H } & 4.5 & 64 \
\text { I } & 5.0 & 65 \
\text { J } & 2.0 & 65
\end{array}$$ Neither distribution appears to be skewed.
-Calculate the correlation.

Accepted Answer

The answer of A researcher wishes to find out whether...

Question 19

A Pearson r value of -.20

Accepted Answer

A)  can never be significant 
B)  must always be significant 
C)  is significant only at p of .01 
D)  none of these, since the number of pairs of scores was not given 
A)  can never be significant 
B)  must always be significant 
C)  is significant only at p of .01 
D)  none of these, since the number of pairs of scores was not given

Question 20

Questions below are based on the following. A group of 10 college sophomores was randomly selected and given a personality test that measured both orderliness and rebelliousness. The scores were as follows: $$\begin{array} { l c c } 
\text { Subject }&\text {\# Orderliness } & \text { Rebelliousness } \
\text { 1. } & 9 & 6 \
\text { 2. } & 6 & 8 \
\text { 3. } & 12 & 2 \
\text { 4. } & 7 & 6 \
\text { 5. } & 10 & 10 \
\text { 6. } & 4 & 11 \
\text { 7. } & 9 & 11 \
\text { 8. } & 10 & 9 \
9 . & 9 & 9 \
10 . & 2 & 13
\end{array}$$
-Was the correlation significant?

Accepted Answer

Reject Ho. Sig p<.05

A Pearson r value of .50 or higher must be significant, regardless of the sample size.

In order to establish the significance of a correlation, one must know the value of the correlation coefficient and also

In doing a Pearson r with 10 degrees of freedom, there must have been

Each data point on a scatter plot represents

A Pearson r of .70 yields a coefficient-of-determination accuracy estimate of

For the Pearson r, the sample size, not the value of r, determines the number of degrees of freedom.

If the correlation between TV viewing and GPA were significant, then the only valid conclusion one can draw from these data, is that

Negative correlations

For a given number of degrees of freedom, when the obtained r is equal to the critical tabled value of r, then

Whenever ordinal data are converted into interval data,

For the Pearson r, as the sample size increases, so also will

A researcher has computed two significant Pearson r values from independent random samples. Sample A, 163 subjects, produced an r of .40 and Sample B, 158 subjects, produced an r of .20. Do the two sample correlations represent a common population correlation?

The Pearson r may only be used when the data form is at least

For the Pearson r, rejecting Ho with an alpha of .05, means that

If these data were to be placed on a scatter plot, the general slope of the array of data points would be

A Pearson r value of -.20

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 Pearson r value of .50 or higher must be significant, regardless of the sample size.

In order to establish the significance of a correlation, one must know the value of the correlation coefficient and also

In doing a Pearson r with 10 degrees of freedom, there must have been

Each data point on a scatter plot represents

A Pearson r of .70 yields a coefficient-of-determination accuracy estimate of

For the Pearson r, the sample size, not the value of r, determines the number of degrees of freedom.

If the correlation between TV viewing and GPA were significant, then the only valid conclusion one can draw from these data, is that

Negative correlations

For a given number of degrees of freedom, when the obtained r is equal to the critical tabled value of r, then

Whenever ordinal data are converted into interval data,

For the Pearson r, as the sample size increases, so also will

A researcher has computed two significant Pearson r values from independent random samples. Sample A, 163 subjects, produced an r of .40 and Sample B, 158 subjects, produced an r of .20. Do the two sample correlations represent a common population correlation?

The Pearson r may only be used when the data form is at least

For the Pearson r, rejecting Ho with an alpha of .05, means that

If these data were to be placed on a scatter plot, the general slope of the array of data points would be

A Pearson r value of -.20

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