Deck 11: Correlation
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Deck 11: Correlation
1
based on the following scenarios. 
Which graph depicts a negative correlation?
A)Scenario A
B)Scenario B
C)Scenario C
D)Scenario D

Which graph depicts a negative correlation?
A)Scenario A
B)Scenario B
C)Scenario C
D)Scenario D
Scenario D
2
When making a scatter diagram,
A)the values on the vertical axis go from highest at the bottom to lowest at the top.
B)the overall shape should be roughly square.
C)two dots are used to mark each score.
D)outlying values are excluded to maintain the proper shape.
A)the values on the vertical axis go from highest at the bottom to lowest at the top.
B)the overall shape should be roughly square.
C)two dots are used to mark each score.
D)outlying values are excluded to maintain the proper shape.
the overall shape should be roughly square.
3
Making a scatter diagram before figuring the correlation coefficient is a good idea because
A)there is no point in figuring the correlation if a clear line is formed on the graph.
B)there are different procedures depending on whether there appears to be a positive or a negative correlation.
C)it allows estimation of the degree and direction of correlation to provide a check on eventual figuring.
D)a correlation coefficient should be figured only if a clear curvilinear correlation is seen.
A)there is no point in figuring the correlation if a clear line is formed on the graph.
B)there are different procedures depending on whether there appears to be a positive or a negative correlation.
C)it allows estimation of the degree and direction of correlation to provide a check on eventual figuring.
D)a correlation coefficient should be figured only if a clear curvilinear correlation is seen.
it allows estimation of the degree and direction of correlation to provide a check on eventual figuring.
4
When is the correlation coefficient zero?
A)never
B)when there is no linear correlation
C)when there is a perfect positive linear correlation
D)when there is a perfect negative linear correlation
A)never
B)when there is no linear correlation
C)when there is a perfect positive linear correlation
D)when there is a perfect negative linear correlation
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5
When figuring a correlation coefficient,scores are first converted to Z scores because
A)the standard deviation is the same for every variable.
B)scores can never be more than 2 standard deviations from the mean.
C)all scores are on a consistent 0 to 1 scale.
D)high scores are positive numbers,and low scores are negative numbers.
A)the standard deviation is the same for every variable.
B)scores can never be more than 2 standard deviations from the mean.
C)all scores are on a consistent 0 to 1 scale.
D)high scores are positive numbers,and low scores are negative numbers.
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6
A study indicates that in general the more fruit students eat before a test,the better they do on the test.However,beyond a certain point,the more fruit students eat,the worse they do on the test.Thus,the relation between amount of fruit eaten and test performance is an example of
A)a positive linear correlation.
B)a curvilinear correlation.
C)a negative linear correlation.
D)no correlation.
A)a positive linear correlation.
B)a curvilinear correlation.
C)a negative linear correlation.
D)no correlation.
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7
based on the following scenarios. 
Which graph depicts no correlation?
A)Scenario A
B)Scenario B
C)Scenario C
D)Scenario D

Which graph depicts no correlation?
A)Scenario A
B)Scenario B
C)Scenario C
D)Scenario D
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8
The difference between a positive correlation and a negative correlation is that
A)in a negative correlation,high scores go with high scores and low with low; in a positive correlation,high scores go with low scores and low with high.
B)in a negative correlation,high scores go with low scores and low with high; in a positive correlation,high scores go with high scores and low with low.
C)negative correlations are curvilinear; positive correlations are straight lines.
D)negative correlations represent a weak relationship; positive correlations represent a strong relationship.
A)in a negative correlation,high scores go with high scores and low with low; in a positive correlation,high scores go with low scores and low with high.
B)in a negative correlation,high scores go with low scores and low with high; in a positive correlation,high scores go with high scores and low with low.
C)negative correlations are curvilinear; positive correlations are straight lines.
D)negative correlations represent a weak relationship; positive correlations represent a strong relationship.
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9
A scatter diagram
A)is a bar graph that shows the frequencies of the different values in a distribution.
B)is a line graph that looks like a mountain-peak skyline and shows the frequencies of the different values in a distribution.
C)shows the relation of two variables as dots in a two-dimensional graph.
D)is also called a random distribution frequency plot.
A)is a bar graph that shows the frequencies of the different values in a distribution.
B)is a line graph that looks like a mountain-peak skyline and shows the frequencies of the different values in a distribution.
C)shows the relation of two variables as dots in a two-dimensional graph.
D)is also called a random distribution frequency plot.
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10
If the correlation between two personality traits is .07,the correlation is considered a
A)weak positive linear correlation.
B)weak negative linear correlation.
C)strong positive linear correlation.
D)strong negative linear correlation.
A)weak positive linear correlation.
B)weak negative linear correlation.
C)strong positive linear correlation.
D)strong negative linear correlation.
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11
If a psychologist interested in the relation between number of years working for a particular company and loneliness at work surveyed 40 workers at this company and figured a correlation between these two variables of -.90,the correlation is considered a
A)weak positive linear correlation.
B)weak negative linear correlation.
C)strong positive linear correlation.
D)strong negative linear correlation.
A)weak positive linear correlation.
B)weak negative linear correlation.
C)strong positive linear correlation.
D)strong negative linear correlation.
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12
The average of the cross-products of Z scores is a better indicator of the relationship between two variables than the sum of the cross-products of Z scores because the average
A)appropriately measures the strength of the relationship whereas the sum does not.
B)appropriately measures the direction of the relationship whereas the sum does not.
C)is converted to a standard scale from -10 to +10 whereas the sum is not.
D)is formed using a combination of the two variables' measurement scales whereas the sum is not.
A)appropriately measures the strength of the relationship whereas the sum does not.
B)appropriately measures the direction of the relationship whereas the sum does not.
C)is converted to a standard scale from -10 to +10 whereas the sum is not.
D)is formed using a combination of the two variables' measurement scales whereas the sum is not.
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13
When conducting a t test for the correlation coefficient in a study with 16 individuals,the degrees of freedom will be
A)14
B)15
C)30
D)31
A)14
B)15
C)30
D)31
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14
An assumption for a significance test of the correlation coefficient is that in the populations,
A)the variance of each variable is the same.
B)the variance of the deviation scores for each variable is the same.
C)the variance of each variable is the same at each point of the other variable.
D)the variance of the squared deviations of each variable is the same at each point of the distribution of the squared deviations of the other variable.
A)the variance of each variable is the same.
B)the variance of the deviation scores for each variable is the same.
C)the variance of each variable is the same at each point of the other variable.
D)the variance of the squared deviations of each variable is the same at each point of the distribution of the squared deviations of the other variable.
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15
The result of multiplying two Z scores is always
A)Positive if the individual has a high raw score on one variable,a low raw score on the other variable,and the Z for the high raw score is larger than the Z for the low raw score.
B)Positive if the individual has low raw scores on both variables.
C)Negative if the individual has high raw scores on both variables.
D)Zero
A)Positive if the individual has a high raw score on one variable,a low raw score on the other variable,and the Z for the high raw score is larger than the Z for the low raw score.
B)Positive if the individual has low raw scores on both variables.
C)Negative if the individual has high raw scores on both variables.
D)Zero
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16
When testing the significance of the correlation coefficient,the null hypothesis is usually that in the population,the true correlation
A)is less than 1.
B)is zero.
C)is greater than the actual correlation.
D)is less than the actual correlation.
A)is less than 1.
B)is zero.
C)is greater than the actual correlation.
D)is less than the actual correlation.
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17
The last step when figuring the correlation coefficient is to
A)multiply the sum of the cross-products of Z scores by the sample size.
B)divide the sum of the cross-products of Z scores by the sample size.
C)add the sample size to the sum of the cross-products of Z scores.
D)subtract the sample size from the sum of the cross-products of Z scores.
A)multiply the sum of the cross-products of Z scores by the sample size.
B)divide the sum of the cross-products of Z scores by the sample size.
C)add the sample size to the sum of the cross-products of Z scores.
D)subtract the sample size from the sum of the cross-products of Z scores.
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18
Which of the following calculations is necessary for figuring the correlation coefficient?
A)finding the grand mean
B)finding the cross-products of each person's X and Y raw scores
C)finding the means of X and Y
D)finding the difference between each person's X and Y raw scores
A)finding the grand mean
B)finding the cross-products of each person's X and Y raw scores
C)finding the means of X and Y
D)finding the difference between each person's X and Y raw scores
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19
When figuring a correlation coefficient,the absolute value of the summed cross-products
A)gets larger when the scores of more people are included in the analysis.
B)gets smaller as the variance of the scores for each variable increases.
C)gets larger as the measurement scale for each variable becomes more restricted.
D)is negative when the scores of large numbers of people are included in the analysis.
A)gets larger when the scores of more people are included in the analysis.
B)gets smaller as the variance of the scores for each variable increases.
C)gets larger as the measurement scale for each variable becomes more restricted.
D)is negative when the scores of large numbers of people are included in the analysis.
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20
A graph that shows the pattern of the relation of two variables is a
A)histogram.
B)scatter diagram.
C)frequency polygon.
D)box plot.
A)histogram.
B)scatter diagram.
C)frequency polygon.
D)box plot.
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21
When is it inappropriate to conduct a t test for the correlation coefficient?
A)when the correlation is negative
B)when the correlation is positive
C)when the relationship is linear
D)when the relationship is nonlinear
A)when the correlation is negative
B)when the correlation is positive
C)when the relationship is linear
D)when the relationship is nonlinear
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22
Under what conditions can the possibility that Y causes X be ruled out when two variables,X and Y,are strongly correlated?
A)if the correlation is positive
B)if the correlation is negative
C)if X occurs before Y
D)if Y occurs before X
A)if the correlation is positive
B)if the correlation is negative
C)if X occurs before Y
D)if Y occurs before X
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23
To compare correlations with each other,the proportionate reduction in error can be figured by
A)multiplying each correlation coefficient by 10.
B)calculating the square root of each correlation coefficient.
C)squaring each correlation coefficient.
D)multiplying each correlation coefficient by 2.
A)multiplying each correlation coefficient by 10.
B)calculating the square root of each correlation coefficient.
C)squaring each correlation coefficient.
D)multiplying each correlation coefficient by 2.
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24
The person given credit for inventing correlation is
A)Ronald Fisher.
B)Francis Galton.
C)William Gossett.
D)Ralph Rosnow.
A)Ronald Fisher.
B)Francis Galton.
C)William Gossett.
D)Ralph Rosnow.
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25
A score that has an extreme value in relation to other scores in a distribution is a(n)
A)outlier.
B)deviation.
C)outlaw.
D)miscalculation.
A)outlier.
B)deviation.
C)outlaw.
D)miscalculation.
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26
When the relationship between two variables is shown by listing the variables on both the top and left side,the table is called a
A)correlation matrix.
B)scatter diagram.
C)binomial effect size display.
D)C table.
A)correlation matrix.
B)scatter diagram.
C)binomial effect size display.
D)C table.
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27
The proportionate reduction in error is preferred over the correlation coefficient for
A)determining the direction of causality.
B)eliminating any third variables that may have been affecting the results.
C)reducing any errors that may have occurred.
D)comparing correlations with each other.
A)determining the direction of causality.
B)eliminating any third variables that may have been affecting the results.
C)reducing any errors that may have occurred.
D)comparing correlations with each other.
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28
The t test for the correlation coefficient
A)is robust to moderate violations of its assumptions.
B)is robust to even extreme violations of its assumptions.
C)is slightly less robust than other t tests to violations of its assumptions.
D)is much less robust than other t tests to violations of its assumptions.
A)is robust to moderate violations of its assumptions.
B)is robust to even extreme violations of its assumptions.
C)is slightly less robust than other t tests to violations of its assumptions.
D)is much less robust than other t tests to violations of its assumptions.
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29
Spearman's rho handles curvilinearity in the relation between two variables by first converting all scores to
A)ranks.
B)deviation scores.
C)Z scores.
D)logs of the original scores.
A)ranks.
B)deviation scores.
C)Z scores.
D)logs of the original scores.
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30
When correlations are reported in a research article,which of the following information is least likely to be provided?
A)the value of r
B)the significance level
C)the Z scores
D)a correlation matrix
A)the value of r
B)the significance level
C)the Z scores
D)a correlation matrix
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31
Under what conditions can an experimenter be confident that X is the cause of Y if two variables,X and Y,are strongly correlated?
A)if people are randomly assigned to levels of X in a true experiment
B)if people are randomly assigned to levels of Y in a true experiment
C)if X is measured before Y
D)if Y is measured before X
A)if people are randomly assigned to levels of X in a true experiment
B)if people are randomly assigned to levels of Y in a true experiment
C)if X is measured before Y
D)if Y is measured before X
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32
The term for the subjective overestimation of the strength of the relationship between two variables is
A)illusory correlation.
B)negative correlation.
C)positive correlation.
D)inflated correlation.
A)illusory correlation.
B)negative correlation.
C)positive correlation.
D)inflated correlation.
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33
One way to handle a situation in which high scores go with high scores and low scores with low scores but the pattern of scores is not linear is to
A)convert all scores to Z scores before figuring the correlation coefficient.
B)add a random variable to the presumed predictor variable.
C)figure the Wilcoxon R.
D)figure Spearman's rho.
A)convert all scores to Z scores before figuring the correlation coefficient.
B)add a random variable to the presumed predictor variable.
C)figure the Wilcoxon R.
D)figure Spearman's rho.
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34
Low reliability of the variables reduces the correlation coefficient because
A)the Z scores are less likely to follow a normal curve.
B)the cross-products of the Z scores are less likely to follow a normal curve.
C)it adds random noise to the computations.
D)it reduces random influences that would otherwise add to the overall variance.
A)the Z scores are less likely to follow a normal curve.
B)the cross-products of the Z scores are less likely to follow a normal curve.
C)it adds random noise to the computations.
D)it reduces random influences that would otherwise add to the overall variance.
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35
A reduction in a correlation due to the unreliability of a measure is
A)attenuation.
B)a restriction in range.
C)negative correlation.
D)binomial effect.
A)attenuation.
B)a restriction in range.
C)negative correlation.
D)binomial effect.
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36
How does Ralph Rosnow and Robert Rosenthal's position on the interpretation of correlations differ from traditional views?
A)They argue that even low correlations can have important implications.
B)They argue that low correlations (below .10)should be treated as if they are zero in virtually all cases.
C)They argue that correlational research designs can provide evidence of causality in most cases.
D)They argue that even with an experimental design,it is not possible to determine causality from a correlation.
A)They argue that even low correlations can have important implications.
B)They argue that low correlations (below .10)should be treated as if they are zero in virtually all cases.
C)They argue that correlational research designs can provide evidence of causality in most cases.
D)They argue that even with an experimental design,it is not possible to determine causality from a correlation.
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37
Illusory correlations are caused by
A)any mistake that occurs during the figuring of the correlation coefficient.
B)comparing correlations without converting them to proportionate reductions in error.
C)incorrect theories based on prejudices.
D)the combined effects of restriction in range and curvilinearity.
A)any mistake that occurs during the figuring of the correlation coefficient.
B)comparing correlations without converting them to proportionate reductions in error.
C)incorrect theories based on prejudices.
D)the combined effects of restriction in range and curvilinearity.
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38
What is the direction of causality when two variables,A and B,have a strong linear correlation?
A)A causes B.
B)B causes A.
C)Some third variable is causing both A and B.
D)All of the above are possible.
A)A causes B.
B)B causes A.
C)Some third variable is causing both A and B.
D)All of the above are possible.
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39
When figuring a correlation coefficient,an outlier
A)usually has only a small effect on the computed correlation.
B)can have an strong effect on the computed correlation.
C)generally increases the statistical power of the study.
D)can be balanced by the effects of attenuation.
A)usually has only a small effect on the computed correlation.
B)can have an strong effect on the computed correlation.
C)generally increases the statistical power of the study.
D)can be balanced by the effects of attenuation.
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40
The situation in which you figure a correlation but only a limited range of the possible values on one of the variables is included in the group studied is called
A)restriction in range.
B)attenuation.
C)proportionate reduction in error.
D)unreliable measurement.
A)restriction in range.
B)attenuation.
C)proportionate reduction in error.
D)unreliable measurement.
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41
In a study in which hearing sensitivity is considered to be the cause of love of music,a scatter diagram shows the relation between hearing sensitivity and love of music.A dot located at 4.5 across and 8 up means a person had a score of 8 on __________.
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42
The shape of a scatter diagram should be __________.
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43
When high scores go with low scores,and low with high,the correlation coefficient will be between __________ and __________.(Give numbers.)
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44
If an experimenter figuring a correlation between variables X and Y finds that one of the people studied had a very unusual combination of scores,the person would be called a(n)__________.
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45
A graphic display of the pattern of relationship between two variables is a(n)__________.
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46
When high scores go with high scores,and low with low,the correlation coefficient will be between __________ and __________.(Give numbers.)
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47
If a study finds that the scarier the movie a person is watching,the more popcorn the person will eat,the relationship between scariness and popcorn is an example of a(n)__________ correlation.
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48
If an experimenter wants to compare a correlation of -.3 to a correlation of .2,the actual numbers that should be compared are __________ and __________.(Give numbers.)
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49
In a scatter diagram,the variable thought to be the cause or the predictor goes on the __________ axis.
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50
A statistically significant correlation means that it is unlikely that a correlation this high would have been observed in the group studied if the correlation were in fact zero for __________.
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51
If there is a correlation between X and Y,and if X occurs before Y,it is possible that X causes Y or that the relation of X and Y is due to __________.
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52
A scatter diagram in which the pattern of dots goes reasonably straight across,but then about half-way across starts going down,is indicating a(n)__________ correlation.
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53
Two or more identical pairs of scores can be identified on a scatter diagram by __________.
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54
If a study finds that the longer a book,the less willing children are to read it,the relationship between book length and willingness to read is an example of a(n)__________ correlation.
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55
Multiplying a low score by a low score will always be __________.
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56
If a sample of only those people who have unusually high scores on A can be included in a study of the correlation between variables A and B,the correlation will be smaller due to __________.
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57
When testing the significance of a correlation coefficient,the usual null hypothesis is that the correlation in the population is __________.(Give a number.)
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58
Multiplying a person's Z score on one variable times the person's Z score on another variable creates a(n)__________ of Z scores.
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59
Correlations will be lower if one or both of the variables are measured with tests or inventories that are __________.
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60
Another name for r2 is __________.
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61
The items below (# 62 - 64)are based on the following table. 
The strongest correlation is between __________ and __________.(Give variable names.)

The strongest correlation is between __________ and __________.(Give variable names.)
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62
People who observe a minority-group person doing something that is unusual for anyone and mistakenly associate the action with this minority group are demonstrating __________ correlation.
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63
An experimenter conducted a study of the relation of size in a particular species of bird to behavioral displays of dominance.The results for the first four birds observed were as follows.
a.Make a scatter diagram of the raw scores.
b.Describe in words the general pattern of association,if any.
c.Figure the correlation coefficient.
d.Determine whether the correlation is significant using the .05 level and a two-tailed test.
e.Explain the logic of what you have done to someone who has never heard of correlation,but who does understand the mean,standard deviation,Z scores,and hypothesis testing.
f.Give three logically possible directions of causality,saying for each whether it is a reasonable direction in light of the variables involved and why.

b.Describe in words the general pattern of association,if any.
c.Figure the correlation coefficient.
d.Determine whether the correlation is significant using the .05 level and a two-tailed test.
e.Explain the logic of what you have done to someone who has never heard of correlation,but who does understand the mean,standard deviation,Z scores,and hypothesis testing.
f.Give three logically possible directions of causality,saying for each whether it is a reasonable direction in light of the variables involved and why.
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64
Using a standard power table,what is the approximate power of each of the following studies that will use correlation and the .05 significance level?
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65
The items below (# 62 - 64)are based on the following table. 
The weakest correlation is between __________ and __________.(Give variable names.)

The weakest correlation is between __________ and __________.(Give variable names.)
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66
A social psychologist conducting a study of the relation between income and generosity observed the amount of money given to a panhandler and determined the wealth of the giver by a rating of the clothing worn.The results for the first four people observed were as follows.
a.Make a scatter diagram of the raw scores.
b.Describe in words the general pattern of association,if any.
c.Figure the correlation coefficient.
d.Determine whether the correlation is significant using the .05 level and a two-tailed test.
e.Explain the logic of what you have done to someone who has never heard of correlation,but who does understand the mean,standard deviation,Z scores,and hypothesis testing.
f.Give three logically possible directions of causality,saying for each whether it is a reasonable direction in light of the variables involved and why.

b.Describe in words the general pattern of association,if any.
c.Figure the correlation coefficient.
d.Determine whether the correlation is significant using the .05 level and a two-tailed test.
e.Explain the logic of what you have done to someone who has never heard of correlation,but who does understand the mean,standard deviation,Z scores,and hypothesis testing.
f.Give three logically possible directions of causality,saying for each whether it is a reasonable direction in light of the variables involved and why.
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67
A cognitive psychologist studying the structure of intelligence obtained the following scores for verbal reasoning and numerical ability for six female students.(Z scores are provided.)
a.Make a scatter diagram of the raw scores.
b.Describe in words the general pattern of association,if any.
c.Figure the correlation coefficient.
d.Determine whether the correlation is significant using the .05 level and a two-tailed test.
e.Explain the logic of what you have done to someone who has never heard of correlation,but who does understand the mean,standard deviation,Z scores,and hypothesis testing.
f.Give three logically possible directions of causality,saying for each whether it is a reasonable direction in light of the variables involved and why.

b.Describe in words the general pattern of association,if any.
c.Figure the correlation coefficient.
d.Determine whether the correlation is significant using the .05 level and a two-tailed test.
e.Explain the logic of what you have done to someone who has never heard of correlation,but who does understand the mean,standard deviation,Z scores,and hypothesis testing.
f.Give three logically possible directions of causality,saying for each whether it is a reasonable direction in light of the variables involved and why.
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68
The items below (# 62 - 64)are based on the following table. 
The correlation between sleepiness and fatigue is __________ (indicate direction)and __________ (indicate strength).

The correlation between sleepiness and fatigue is __________ (indicate direction)and __________ (indicate strength).
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69
If a scatter diagram shows that high scores on one variable go with high scores on the other and low scores go with low scores,but the increase becomes increasingly steep,resulting in a curvilinear relation between two variables,the experimenter can figure a statistic called __________.
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70
A health psychologist conducted a study of the relation of number of hours exercised each week (as the predictor variable)and number of days sick per year.The results for four individuals studied were as follows.
a.Make a scatter diagram of the raw scores.
b.Describe in words the general pattern of association,if any.
c.Figure the correlation coefficient.
d.Determine whether the correlation is significant using the .05 level and a two-tailed test.
e.Explain the logic of what you have done to someone who has never heard of correlation,but who does understand the mean,standard deviation,Z scores,and hypothesis testing.
f.Give three logically possible directions of causality,saying for each whether it is a reasonable direction in light of the variables involved and why.

b.Describe in words the general pattern of association,if any.
c.Figure the correlation coefficient.
d.Determine whether the correlation is significant using the .05 level and a two-tailed test.
e.Explain the logic of what you have done to someone who has never heard of correlation,but who does understand the mean,standard deviation,Z scores,and hypothesis testing.
f.Give three logically possible directions of causality,saying for each whether it is a reasonable direction in light of the variables involved and why.
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71
Using a standard power table,approximately how many participants are needed for 80% power in each of the following planned studies that will use correlation and the .05 significance level?
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