10-25-2015, 07:59 PM
Quiz 2
Table of Contents
Part 1 of 1 -
Question 1 of 20
1.0 Points
A correlation describes the relationship between two:
A.equal-interval numeric variables
B.scatterplots
C.standard deviations
D.horizontal axes Reset Selection
Question 2 of 20
1.0 Points
Which of these statements is TRUE when drawing a scatter diagram?
A.The highest number should start where the axes meet.
B.The variable that predicts the other goes on the vertical axis.
C.The variable that predicts the other goes on the horizontal axis.
D.The variable that is being predicted goes on the horizontal axis. Reset Selection
Question 3 of 20
1.0 Points
What is the difference between a positive correlation and a negative correlation?
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. Reset Selection
Question 4 of 20
1.0 Points
A researcher discovers that if people eat a certain fruit before a test, the more fruit eaten, the better they do on the test. Beyond a certain point, however, the more fruit eaten the worse people do on the test. The relation between amount of fruit eaten and how well people do on the test is an example of:
A.a positive linear correlation
B.a curvilinear correlation
C.a negative linear correlation
D.no correlation Reset Selection
Question 5 of 20
1.0 Points
A study found that absenteeism from work had a negative linear correlation with job satisfaction. This means that:
A.the higher the level of job satisfaction, the higher the level of absenteeism
B.the lower the level of job satisfaction, the higher the level of absenteeism
C.the lower the level of job satisfaction, the lower the level of absenteeism
D.level of job satisfaction is unrelated to absenteeism Reset Selection
Question 6 of 20
1.0 Points
When is the correlation coefficient zero?
A.It is never zero
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 Reset Selection
Question 7 of 20
1.0 Points
Researchers say that a correlation is significant if:
A.the dots appear to form a straight line on the scatter diagram
B.there is a small probability, such as 5% or 1%, that you could have obtained a correlation this big if in fact there had been no correlation in the population at large
C.the correlation is .05 or greater (or below -.05 if negative).
D.there is a large probability (.50 or larger) that this correlation is greater than that computed in standard tables of what is called the chi-square distribution Reset Selection
Question 8 of 20
1.0 Points
If researchers were to measure a couples’ level of exciting activities at one time and then examine the quality of their marriages several years later (as done by Tsapelas, Aron, & Orbuch, 2009), they would be carrying out a:
A.regression analysis
B.longitudinal study
C.true experiment
D.single case design Reset Selection
Question 9 of 20
1.0 Points
Figuring the multiple correlation coefficient allows you to:
A.view the correlation between different predictor variables, ignoring the criterion variable
B.view each predictor variable separately and correlate it with the criterion variable
C.correlate more than two predictor variables with more than two criterion variables
D.view the overall correlation between a number of predictor variables and one criterion variable Reset Selection
Question 10 of 20
1.0 Points
Sometimes a correlation coefficient is used to describe the consistency of a measure or test. One way to assess the consistency of a measure is to use it with the same group of people twice. The correlation between the two testings is:
A.correlation matrix
B.test–retest reliability
C.intrarater reliability
D.criterion validity Reset Selection
Question 11 of 20
1.0 Points
If you were looking at a graph of a normal distribution, which of the following would best describe it?
A.Bimodal and roughly symmetrical
B.Unimodal, roughly symmetrical, and bell-shaped
C.Skewed to the right
D.Roughly symmetrical and W-shaped Reset Selection
Question 12 of 20
1.0 Points
The _____________ explains why many distributions tend to be close to normal in the real world.
A.central limit theorem
B.normal curve table
C.Pythagorean theorem
D.triples list calculation Reset Selection
Question 13 of 20
1.0 Points
Relative frequency is:
A.the expected number of times you will obtain a particular outcome in an experiment
B.how frequently a result occurs
C.what result you expect if you repeat an experiment frequently
D.the number of times something occurs relative to the number of times it could have occurred Reset Selection
Question 14 of 20
1.0 Points
The fact that probabilities are proportions means that they:
A.have to be larger than one
B.can’t be lower than zero or more than one
C.can’t be lower than zero or more than .05
D.can be either a positive or a negative number Reset Selection
Question 15 of 20
1.0 Points
In figuring probabilities, expected relative frequency is:
A.how many times something happens
B.the result of an experiment
C.the number of successful outcomes divided by the number of total outcomes expected if you repeat an experiment a large number of times
D.the number of unsuccessful outcomes multiplied by the number of successful outcomes expected if you repeat an experiment a large number of times Reset Selection
Question 16 of 20
1.0 Points
You have an aquarium full of tropical salt-water fish and you need to know the exact salt content of the water. To test it, you take a cup and scoop some of the water out. In statistical language, the scoop of water is a:
A.population
B.parameter
C.sample
D.population distribution Reset Selection
Question 17 of 20
1.0 Points
You want to study the general amount of drug use at your university. You obtain a complete list of students. You then put all the names into a box and have a blindfolded person select as many people as you needed. This is called:
A.random selection
B.haphazard selection
C.specified selection
D.type B selection Reset Selection
Question 18 of 20
1.0 Points
You want to study the physical effects of caffeine. To recruit participants for your experiment you post a sign-up sheet for anyone willing to participate. This is an example of:
A.random selection
B.haphazard selection
C.stratified selection
D.type B selection Reset Selection
Question 19 of 20
1.0 Points
Whenever possible, researchers report the proportion of individuals approached for a study who actually participated. This is called:
A.attrition rate
B.random selection rate
C.approach rate
D.response rate Reset Selection
Question 20 of 20
1.0 Points
The actual values of the mean, variance, and standard deviation of a population are called:
A.sample statistics
B.population parameters
C.population Z scores
D.regressed standardized scores Reset Selection
Save
Exit
Table of Contents
Part 1 of 1 -
Question 1 of 20
1.0 Points
A correlation describes the relationship between two:
A.equal-interval numeric variables
B.scatterplots
C.standard deviations
D.horizontal axes Reset Selection
Question 2 of 20
1.0 Points
Which of these statements is TRUE when drawing a scatter diagram?
A.The highest number should start where the axes meet.
B.The variable that predicts the other goes on the vertical axis.
C.The variable that predicts the other goes on the horizontal axis.
D.The variable that is being predicted goes on the horizontal axis. Reset Selection
Question 3 of 20
1.0 Points
What is the difference between a positive correlation and a negative correlation?
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. Reset Selection
Question 4 of 20
1.0 Points
A researcher discovers that if people eat a certain fruit before a test, the more fruit eaten, the better they do on the test. Beyond a certain point, however, the more fruit eaten the worse people do on the test. The relation between amount of fruit eaten and how well people do on the test is an example of:
A.a positive linear correlation
B.a curvilinear correlation
C.a negative linear correlation
D.no correlation Reset Selection
Question 5 of 20
1.0 Points
A study found that absenteeism from work had a negative linear correlation with job satisfaction. This means that:
A.the higher the level of job satisfaction, the higher the level of absenteeism
B.the lower the level of job satisfaction, the higher the level of absenteeism
C.the lower the level of job satisfaction, the lower the level of absenteeism
D.level of job satisfaction is unrelated to absenteeism Reset Selection
Question 6 of 20
1.0 Points
When is the correlation coefficient zero?
A.It is never zero
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 Reset Selection
Question 7 of 20
1.0 Points
Researchers say that a correlation is significant if:
A.the dots appear to form a straight line on the scatter diagram
B.there is a small probability, such as 5% or 1%, that you could have obtained a correlation this big if in fact there had been no correlation in the population at large
C.the correlation is .05 or greater (or below -.05 if negative).
D.there is a large probability (.50 or larger) that this correlation is greater than that computed in standard tables of what is called the chi-square distribution Reset Selection
Question 8 of 20
1.0 Points
If researchers were to measure a couples’ level of exciting activities at one time and then examine the quality of their marriages several years later (as done by Tsapelas, Aron, & Orbuch, 2009), they would be carrying out a:
A.regression analysis
B.longitudinal study
C.true experiment
D.single case design Reset Selection
Question 9 of 20
1.0 Points
Figuring the multiple correlation coefficient allows you to:
A.view the correlation between different predictor variables, ignoring the criterion variable
B.view each predictor variable separately and correlate it with the criterion variable
C.correlate more than two predictor variables with more than two criterion variables
D.view the overall correlation between a number of predictor variables and one criterion variable Reset Selection
Question 10 of 20
1.0 Points
Sometimes a correlation coefficient is used to describe the consistency of a measure or test. One way to assess the consistency of a measure is to use it with the same group of people twice. The correlation between the two testings is:
A.correlation matrix
B.test–retest reliability
C.intrarater reliability
D.criterion validity Reset Selection
Question 11 of 20
1.0 Points
If you were looking at a graph of a normal distribution, which of the following would best describe it?
A.Bimodal and roughly symmetrical
B.Unimodal, roughly symmetrical, and bell-shaped
C.Skewed to the right
D.Roughly symmetrical and W-shaped Reset Selection
Question 12 of 20
1.0 Points
The _____________ explains why many distributions tend to be close to normal in the real world.
A.central limit theorem
B.normal curve table
C.Pythagorean theorem
D.triples list calculation Reset Selection
Question 13 of 20
1.0 Points
Relative frequency is:
A.the expected number of times you will obtain a particular outcome in an experiment
B.how frequently a result occurs
C.what result you expect if you repeat an experiment frequently
D.the number of times something occurs relative to the number of times it could have occurred Reset Selection
Question 14 of 20
1.0 Points
The fact that probabilities are proportions means that they:
A.have to be larger than one
B.can’t be lower than zero or more than one
C.can’t be lower than zero or more than .05
D.can be either a positive or a negative number Reset Selection
Question 15 of 20
1.0 Points
In figuring probabilities, expected relative frequency is:
A.how many times something happens
B.the result of an experiment
C.the number of successful outcomes divided by the number of total outcomes expected if you repeat an experiment a large number of times
D.the number of unsuccessful outcomes multiplied by the number of successful outcomes expected if you repeat an experiment a large number of times Reset Selection
Question 16 of 20
1.0 Points
You have an aquarium full of tropical salt-water fish and you need to know the exact salt content of the water. To test it, you take a cup and scoop some of the water out. In statistical language, the scoop of water is a:
A.population
B.parameter
C.sample
D.population distribution Reset Selection
Question 17 of 20
1.0 Points
You want to study the general amount of drug use at your university. You obtain a complete list of students. You then put all the names into a box and have a blindfolded person select as many people as you needed. This is called:
A.random selection
B.haphazard selection
C.specified selection
D.type B selection Reset Selection
Question 18 of 20
1.0 Points
You want to study the physical effects of caffeine. To recruit participants for your experiment you post a sign-up sheet for anyone willing to participate. This is an example of:
A.random selection
B.haphazard selection
C.stratified selection
D.type B selection Reset Selection
Question 19 of 20
1.0 Points
Whenever possible, researchers report the proportion of individuals approached for a study who actually participated. This is called:
A.attrition rate
B.random selection rate
C.approach rate
D.response rate Reset Selection
Question 20 of 20
1.0 Points
The actual values of the mean, variance, and standard deviation of a population are called:
A.sample statistics
B.population parameters
C.population Z scores
D.regressed standardized scores Reset Selection
Save
Exit
