Question 1

A categorical variable can be added to a scatterplot.

Accepted Answer

A) True 
 B)False  True

Question 2

Malaria is a leading cause of infectious disease and death worldwide.It is also a popular example of a vector-borne disease that could be greatly affected by the influence of climate change.The scatterplot shows total precipitation (in mm)in select cities in West Africa on the x axis and the percent of people who tested positive for malaria in the select cities on the y axis in 2000.   
There is a strong linear relationship between percentage of people who tested positive for malaria and precipitation.

Accepted Answer

A) True 
 B)False  False

Question 3

Fill in the blank.A study is conducted to determine if one can predict the yield of a crop based on the amount of yearly rainfall.The variable _______________ is the response variable in this study.

Accepted Answer

yield of the crop

Question 4

Two variables are positively associated when _______.

Accepted Answer

A) above-average values of one tend to accompany above-average values of the other and vice versa 
B) above-average values of one tend to accompany below-average values of the other,and vice versa 
C) both variables have an outlier 
D) None of the above 
A) above-average values of one tend to accompany above-average values of the other and vice versa 
B) above-average values of one tend to accompany below-average values of the other,and vice versa 
C) both variables have an outlier 
D) None of the above

Question 5

The scatterplot below displays data collected from 20 adults on their age and overall GPA at graduation.   
If you switched the variables on the x and y axis,the relationship between the two variables would appear much stronger.

Accepted Answer

A) True 
 B)False

Question 6

Volunteers for a research study were divided into three groups.Group 1 listened to Western religious music,Group 2 listened to Western rock music,and Group 3 listened to Chinese religious music.The blood pressure of each volunteer was measured before and after listening to the music,and the change in blood pressure (blood pressure before listening minus blood pressure after listening)was recorded. A scatterplot of change in blood pressure (mmHg)versus the type of music listened to is given below:   What do we know about the correlation between change in blood pressure and type of music?

Accepted Answer

A) It is negative. 
B) It is positive. 
C) It is first negative then positive. 
D) None of the above 
A) It is negative. 
B) It is positive. 
C) It is first negative then positive. 
D) None of the above

Question 7

Which of the following statements is/are FALSE?

Accepted Answer

A) A scatterplot is a useful graphical tool for displaying the strength of the relationship between two quantitative variables. 
B) The only relationship that a scatterplot can usefully display is linear with no outliers. 
C) If above-average values of two quantitative variables and below-average values of the same two quantitative variables tend to occur together,the two variables are positively associated. 
D) An individual value that deviates from the overall pattern displayed on a scatterplot is called an outlier. 
E) A categorical variable can be added to a scatterplot by using a different color or symbol for each category. 
A) A scatterplot is a useful graphical tool for displaying the strength of the relationship between two quantitative variables. 
B) The only relationship that a scatterplot can usefully display is linear with no outliers. 
C) If above-average values of two quantitative variables and below-average values of the same two quantitative variables tend to occur together,the two variables are positively associated. 
D) An individual value that deviates from the overall pattern displayed on a scatterplot is called an outlier. 
E) A categorical variable can be added to a scatterplot by using a different color or symbol for each category.

Question 8

We are interested in determining if students who graduate from larger universities receive greater starting salaries than students who graduate from smaller universities.We collected data from 50 small universities and 50 large universities to examine this relationship.This is an example of ________

Accepted Answer

A) exploratory data analysis. 
B) benchmarking. 
C) data mining. 
A) exploratory data analysis. 
B) benchmarking. 
C) data mining.

Question 9

Fill in the blank.A researcher is interested in determining if one could predict the score on a statistics exam from the amount of time spent studying for the exam.The variable _______________ is the explanatory variable in this study.

Accepted Answer

amount of

Question 10

To examine the relationship between two variables,the variables must be measured from the same _______.

Accepted Answer

A) cases 
B) labels 
C) units 
D) values 
A) cases 
B) labels 
C) units 
D) values

Question 11

Variables measured on the same cases are _______ if knowing the values of one of the variables gives you information about the values of another variable that was not known beforehand.

Accepted Answer

A) transformed 
B) categorical 
C) associated 
D) quantitative 
A) transformed 
B) categorical 
C) associated 
D) quantitative

Question 12

Scatterplot "smoothing" is used to determine the ______ of the data.

Accepted Answer

A) direction 
B) form 
C) variation 
D) None of the above 
A) direction 
B) form 
C) variation 
D) None of the above

Question 13

If you have two quantitative variables,one way to study them is to use a ______.

Accepted Answer

A) scatterplot 
B) two-way table 
C) None of the above 
A) scatterplot 
B) two-way table 
C) None of the above

Question 14

Fill in the blank.When creating a scatterplot,one should use the _______________ axis for the explanatory variable if a regression line is to be fit to the data.

Accepted Answer

The answer of Fill in the blank.When creating a scatterplot,one...

Question 15

Fill in the blank.A scatterplot is a graphical tool for displaying the relationship between two __________ variables measured on the same individuals.

Accepted Answer

The answer of Fill in the blank.A scatterplot is a...

Question 16

Response variables are also called ____________ variables.

Accepted Answer

The answer of Response variables are also called ____________ variables....

Question 17

Malaria is a leading cause of infectious disease and death worldwide.It is also a popular example of a vector-borne disease that could be greatly affected by the influence of climate change.The table below is a summary from a linear regression that uses dewpoint (°C)to predict malaria prevalence in West Africa.   
There is a negative association between dewpoint and malaria prevalence in West Africa.

Accepted Answer

A) True 
 B)False

Question 18

Malaria is a leading cause of infectious disease and death worldwide.It is also a popular example of a vector-borne disease that could be greatly affected by the influence of climate change.The table below is a summary from a linear regression that uses dewpoint (°C)to predict malaria prevalence in West Africa.   Fill in the blank.The equation of the least-square regression line is __________.

Accepted Answer

Malaria =

Question 19

A researcher measured the height (in feet)and volume of usable lumber (in cubic feet)of 32 cherry trees.The goal is to determine if the volume of usable lumber can be estimated from the height of a tree.The results are plotted below:   Fill in the blank.The variable _______________ is the response variable in this study.

Accepted Answer

volume of

Question 20

Scatterplots can be used to explain the relationship between one categorical variable and one quantitative variable.

Accepted Answer

A) True 
 B)False

A categorical variable can be added to a scatterplot.

Fill in the blank.A study is conducted to determine if one can predict the yield of a crop based on the amount of yearly rainfall.The variable _______________ is the response variable in this study.

Two variables are positively associated when _______.

The scatterplot below displays data collected from 20 adults on their age and overall GPA at graduation. If you switched the variables on the x and y axis,the relationship between the two variables would appear much stronger.

Which of the following statements is/are FALSE?

We are interested in determining if students who graduate from larger universities receive greater starting salaries than students who graduate from smaller universities.We collected data from 50 small universities and 50 large universities to examine this relationship.This is an example of ________

Fill in the blank.A researcher is interested in determining if one could predict the score on a statistics exam from the amount of time spent studying for the exam.The variable _______________ is the explanatory variable in this study.

To examine the relationship between two variables,the variables must be measured from the same _______.

Variables measured on the same cases are _______ if knowing the values of one of the variables gives you information about the values of another variable that was not known beforehand.

Scatterplot "smoothing" is used to determine the ______ of the data.

If you have two quantitative variables,one way to study them is to use a ______.

Fill in the blank.When creating a scatterplot,one should use the _______________ axis for the explanatory variable if a regression line is to be fit to the data.

Fill in the blank.A scatterplot is a graphical tool for displaying the relationship between two __________ variables measured on the same individuals.

Response variables are also called ____________ variables.

Scatterplots can be used to explain the relationship between one categorical variable and one quantitative variable.

Looking at Datadistributions

Producing Data

Probability: the Study of Randomness

Sampling Distributions

Introduction to Inference

Inference for Means

Inference for Proportions

Inference for Categorical Data

Inference for Regression

Multiple Regression

One-Way Analysis of Variance

Two-Way Analysis of Variance

Logistic Regression

Nonparametric Tests

Bootstrap Methods and Permutation Tests

Statistics for Quality: Control and Capability

Filters

Exam 2: Looking at Datarelationships

A categorical variable can be added to a scatterplot.

Fill in the blank.A study is conducted to determine if one can predict the yield of a crop based on the amount of yearly rainfall.The variable _______________ is the response variable in this study.

Two variables are positively associated when _______.

The scatterplot below displays data collected from 20 adults on their age and overall GPA at graduation. If you switched the variables on the x and y axis,the relationship between the two variables would appear much stronger.

Which of the following statements is/are FALSE?

Fill in the blank.A researcher is interested in determining if one could predict the score on a statistics exam from the amount of time spent studying for the exam.The variable _______________ is the explanatory variable in this study.

To examine the relationship between two variables,the variables must be measured from the same _______.

Variables measured on the same cases are _______ if knowing the values of one of the variables gives you information about the values of another variable that was not known beforehand.

Scatterplot "smoothing" is used to determine the ______ of the data.

If you have two quantitative variables,one way to study them is to use a ______.

Fill in the blank.When creating a scatterplot,one should use the _______________ axis for the explanatory variable if a regression line is to be fit to the data.

Fill in the blank.A scatterplot is a graphical tool for displaying the relationship between two __________ variables measured on the same individuals.

Response variables are also called ____________ variables.

Scatterplots can be used to explain the relationship between one categorical variable and one quantitative variable.

Looking at Datadistributions

Producing Data

Probability: the Study of Randomness

Sampling Distributions

Introduction to Inference

Inference for Means

Inference for Proportions

Inference for Categorical Data

Inference for Regression

Multiple Regression

One-Way Analysis of Variance

Two-Way Analysis of Variance

Logistic Regression

Nonparametric Tests

Bootstrap Methods and Permutation Tests

Statistics for Quality: Control and Capability

Filters