Question 1

A _____ refers to the group in your study whereas a ______ refers to a distinct group of people

Accepted Answer

A) population; sample 
B) sample; population 
C) sample; cohort 
D) participant; population 
A) population; sample 
B) sample; population 
C) sample; cohort 
D) participant; population B

Question 2

In regression, the variable being predicted is called the

Accepted Answer

A) criterion or y variable 
B) predictor variable or x 
C) explanatory variable 
A) criterion or y variable 
B) predictor variable or x 
C) explanatory variable A

Question 3

A student evaluation of teaching effectiveness for a particular course asks students to respond to their level of agreement with several statements according to the scale 1 = Strongly Agree, 2 = Agree, 3 = Neutral, 4 = Disagree, and 5 = Strongly Disagree. The responses indicate what level of measurement?

Accepted Answer

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

Question 4

You are conducting a survey of the people of India to find out how popular football is among the Indians. You randomly choose people to call, and make 1,000 phone calls to people scattered across the country. In this study, what of the following statement is true

Accepted Answer

A) both the people of india and the people you called is the population 
B) the people of india is called the population, and the people you called are the sample. 
C) the people of india is the sample, and the people you called is the population. 
D) both the people of india and the people you called are samples. 
A) both the people of india and the people you called is the population 
B) the people of india is called the population, and the people you called are the sample. 
C) the people of india is the sample, and the people you called is the population. 
D) both the people of india and the people you called are samples.

Question 5

Linear regression can achieve which of the following

Accepted Answer

A) allow us to predict someone's statistical grade from their mathematical ability 
B) allow us to identify how much variable y will change if variable x changes 
C) allow us to predict that as the weather gets 30% colder, then the sales of sweaters will increase by 50%. 
D) all of the above 
A) allow us to predict someone's statistical grade from their mathematical ability 
B) allow us to identify how much variable y will change if variable x changes 
C) allow us to predict that as the weather gets 30% colder, then the sales of sweaters will increase by 50%. 
D) all of the above

Question 6

A teacher surveys the students attending a seminar and finds that 20% are I BA students and 45% are II BA students. This is an example of

Accepted Answer

A) descriptive statistics 
B) inferential statistics 
C) secondary data 
D) nominal data 
A) descriptive statistics 
B) inferential statistics 
C) secondary data 
D) nominal data

Question 7

An insurance agent earns a commission on each policy sold. This person made Rs.3,000 in commissions during one month and concludes that annual compensation will be Rs. 36,000. This is an example of:

Accepted Answer

A) descriptive statistics 
B) inferential statistics 
C) secondary data 
D) nominal data 
A) descriptive statistics 
B) inferential statistics 
C) secondary data 
D) nominal data

Question 8

A correlation coefficient of +0.40 could be considered

Accepted Answer

A) weak 
B) moderate 
C) strong 
D) zero 
A) weak 
B) moderate 
C) strong 
D) zero

Question 9

In correlation, for a positive relationship ____ scores on one variable tend to be associated with ____ scores on the other variable

Accepted Answer

A) high; low 
B) low; high 
C) high; high 
D) none of the above 
A) high; low 
B) low; high 
C) high; high 
D) none of the above

Question 10

To construct a ________we take each person's score on x and y and plot where they meet. Each data point represents two scores.

Accepted Answer

A) scatter diagram 
B) histogram 
C) pie diagram 
D) ogive 
A) scatter diagram 
B) histogram 
C) pie diagram 
D) ogive

Question 11

Which of the following could be value of correlation coefficient

Accepted Answer

A) 0.30 
B) +1.00 
C) ?0.27 
D) all of the above 
A) 0.30 
B) +1.00 
C) ?0.27 
D) all of the above

Question 12

Linear regression means that every time the value of x increases, y changes by a ______amount.

Accepted Answer

A) increasing 
B) decreasing 
C) constant 
D) all of the above 
A) increasing 
B) decreasing 
C) constant 
D) all of the above

Question 13

Which of the following is incorrect?

Accepted Answer

A) in linear regression a real line is drawn through the data points where total error is minimized. 
B) in linear regression the line tells us by how much y is predicted to change as a result of a change in x. 
C) in linear regression the line fits the data in the best place possible. 
D) in linear regression the line of best fit maximises the distance between the scores and the regression line. 
A) in linear regression a real line is drawn through the data points where total error is minimized. 
B) in linear regression the line tells us by how much y is predicted to change as a result of a change in x. 
C) in linear regression the line fits the data in the best place possible. 
D) in linear regression the line of best fit maximises the distance between the scores and the regression line.

Question 14

Which of the following does not represent one method to obtain primary source data

Accepted Answer

A) making observations 
B) sending a survey to customers 
C) looking in journals 
D) conducting an experiment 
A) making observations 
B) sending a survey to customers 
C) looking in journals 
D) conducting an experiment

Question 15

When two variables are correlated we can say

Accepted Answer

A) that they have a perfect positive relationship 
B) that they share variance 
C) high scores are frequent on x and y 
D) that they are independent 
A) that they have a perfect positive relationship 
B) that they share variance 
C) high scores are frequent on x and y 
D) that they are independent

Question 16

You have a correlation coefficient of 0.45 between two variables. How much variance would these two variables (to the nearest whole number) share, in percentage terms

Accepted Answer

A) 16% 
B) 67% 
C) 25% 
D) 20% 
A) 16% 
B) 67% 
C) 25% 
D) 20%

Question 17

Under what circumstances should we be cautious about using the mean as a measure of central tendency?

Accepted Answer

A) when the data is skewed. 
B) when data is positively skewed 
C) when data is negatively skewed 
D) all of the above 
A) when the data is skewed. 
B) when data is positively skewed 
C) when data is negatively skewed 
D) all of the above

Question 18

The _________coefficient (r) is a ratio between the covariance (variance shared by two variables) and a measure of the separate variances.

Accepted Answer

A) regression 
B) elasticity 
C) correlation 
D) mean 
A) regression 
B) elasticity 
C) correlation 
D) mean

Question 19

If b = 0 the line of best fit will conventionally be drawn ______

Accepted Answer

A) as horizontal 
B) as vertical 
C) as provides the best fit to the scores 
D) through the middle of the data points 
A) as horizontal 
B) as vertical 
C) as provides the best fit to the scores 
D) through the middle of the data points

Question 20

In correlation, which of the following tells us that we have a perfect positive relationship

Accepted Answer

A) r = +1 
B) all the points on the scatter diagram would fall on a straight line and the slope would be from bottom left to top right of the plot 
C) the dots on the scatter diagram would fall in a straight line from top left-hand corner down to bottom right hand corner 
D) both a and b 
A) r = +1 
B) all the points on the scatter diagram would fall on a straight line and the slope would be from bottom left to top right of the plot 
C) the dots on the scatter diagram would fall in a straight line from top left-hand corner down to bottom right hand corner 
D) both a and b

A _ refers to the group in your study whereas a __ refers to a distinct group of people

In regression, the variable being predicted is called the

You are conducting a survey of the people of India to find out how popular football is among the Indians. You randomly choose people to call, and make 1,000 phone calls to people scattered across the country. In this study, what of the following statement is true

Linear regression can achieve which of the following

A teacher surveys the students attending a seminar and finds that 20% are I BA students and 45% are II BA students. This is an example of

An insurance agent earns a commission on each policy sold. This person made Rs.3,000 in commissions during one month and concludes that annual compensation will be Rs. 36,000. This is an example of:

A correlation coefficient of +0.40 could be considered

In correlation, for a positive relationship scores on one variable tend to be associated with scores on the other variable

To construct a ________we take each person's score on x and y and plot where they meet. Each data point represents two scores.

Which of the following could be value of correlation coefficient

Linear regression means that every time the value of x increases, y changes by a ______amount.

Which of the following is incorrect?

Which of the following does not represent one method to obtain primary source data

When two variables are correlated we can say

You have a correlation coefficient of 0.45 between two variables. How much variance would these two variables (to the nearest whole number) share, in percentage terms

Under what circumstances should we be cautious about using the mean as a measure of central tendency?

The _________coefficient (r) is a ratio between the covariance (variance shared by two variables) and a measure of the separate variances.

If b = 0 the line of best fit will conventionally be drawn ______

In correlation, which of the following tells us that we have a perfect positive relationship

Statistics and Data Analysis Basics

Data Analysis and Sampling Techniques

Sampling, Correlation, and Regression Analysis

Time Series Analysis and Index Numbers: Part A

Time Series Analysis and Index Numbers: Part B

Econometrics and Price Indexes: Statistical Models and Analysis

Filters

Exam 1: Statistics and Data Analysis: Variables, Measures, and Distributions

A _____ refers to the group in your study whereas a ______ refers to a distinct group of people

In regression, the variable being predicted is called the

You are conducting a survey of the people of India to find out how popular football is among the Indians. You randomly choose people to call, and make 1,000 phone calls to people scattered across the country. In this study, what of the following statement is true

Linear regression can achieve which of the following

A teacher surveys the students attending a seminar and finds that 20% are I BA students and 45% are II BA students. This is an example of

An insurance agent earns a commission on each policy sold. This person made Rs.3,000 in commissions during one month and concludes that annual compensation will be Rs. 36,000. This is an example of:

A correlation coefficient of +0.40 could be considered

In correlation, for a positive relationship ____ scores on one variable tend to be associated with ____ scores on the other variable

To construct a ________we take each person's score on x and y and plot where they meet. Each data point represents two scores.

Which of the following could be value of correlation coefficient

Linear regression means that every time the value of x increases, y changes by a ______amount.

Which of the following is incorrect?

Which of the following does not represent one method to obtain primary source data

When two variables are correlated we can say

You have a correlation coefficient of 0.45 between two variables. How much variance would these two variables (to the nearest whole number) share, in percentage terms

Under what circumstances should we be cautious about using the mean as a measure of central tendency?

The _________coefficient (r) is a ratio between the covariance (variance shared by two variables) and a measure of the separate variances.

If b = 0 the line of best fit will conventionally be drawn ______

In correlation, which of the following tells us that we have a perfect positive relationship

Statistics and Data Analysis Basics

Data Analysis and Sampling Techniques

Sampling, Correlation, and Regression Analysis

Time Series Analysis and Index Numbers: Part A

Time Series Analysis and Index Numbers: Part B

Econometrics and Price Indexes: Statistical Models and Analysis

Filters

A _ refers to the group in your study whereas a __ refers to a distinct group of people

In correlation, for a positive relationship scores on one variable tend to be associated with scores on the other variable