Question 1

Estimates of error will always have error in them.

Accepted Answer

A) True 
 B)False  False

Question 2

A constant is a variable that always demonstrates a relationship with another variable.

Accepted Answer

A) True 
 B)False  False

Question 3

Inferential statistics are used to establish the accuracy of measurement.

Accepted Answer

A) True 
 B)False  False

Question 4

Which of the following best describes the concept of "variance"?

Accepted Answer

A) change is inevitable and all around us 
B) differences in measurement results 
C) real fluctuations in measurement 
D) a and c above 
A) change is inevitable and all around us 
B) differences in measurement results 
C) real fluctuations in measurement 
D) a and c above

Question 5

Accuracy:

Accepted Answer

A) is always possible 
B) always results in larger amounts of variance 
C) solves all measurement problems 
D) none of the above 
A) is always possible 
B) always results in larger amounts of variance 
C) solves all measurement problems 
D) none of the above

Question 6

Statistics are merely ways to make sense of and understand quantitative information.

Accepted Answer

A) True 
 B)False

Question 7

Predictive statistics measure the strength of a relationship.

Accepted Answer

A) True 
 B)False

Question 8

The different statistics we use to tell us about variance and error have different capabilities,particularly in regard to their accuracy and ability to withstand problems in the data.

Accepted Answer

A) True 
 B)False

Question 9

Descriptive statistics are designed to describe statistical significance of a relationship.

Accepted Answer

A) True 
 B)False

Question 10

Which of the following is more likely to be true?

Accepted Answer

A) small differences between things are associated with small amounts of error 
B) large differences between things are associated with large amounts of error 
C) small differences between things are probably real; large differences are probably error 
D) large differences between things are probably real; small differences are probably error 
A) small differences between things are associated with small amounts of error 
B) large differences between things are associated with large amounts of error 
C) small differences between things are probably real; large differences are probably error 
D) large differences between things are probably real; small differences are probably error

Question 11

The power of a statistic refers to

Accepted Answer

A) the ability to withstand violations of assumptions 
B) the ability to be calculated quickly 
C) the ability to find something that is really there 
D) the ability to locate error variance 
A) the ability to withstand violations of assumptions 
B) the ability to be calculated quickly 
C) the ability to find something that is really there 
D) the ability to locate error variance

Question 12

A "good" statistic is characterized by which of the following?

Accepted Answer

A) provides a quick and relatively accurate "picture" of the data 
B) has the ability to reduce data to the nominal level of measurement 
C) requires a minimum of calculation 
D) all of the above 
A) provides a quick and relatively accurate "picture" of the data 
B) has the ability to reduce data to the nominal level of measurement 
C) requires a minimum of calculation 
D) all of the above

Question 13

Chapter 1 in your textbook focuses on:

Accepted Answer

A) the foundation of statistics 
B) the application of mathematical formulas 
C) strategies for studying statistics 
D) all of the above 
A) the foundation of statistics 
B) the application of mathematical formulas 
C) strategies for studying statistics 
D) all of the above

Question 14

The robustness of a statistic refers to

Accepted Answer

A) the ability to be calculated quickly 
B) the ability to withstand violations of assumptions 
C) the ability to locate error variance 
D) the ability to find something that is really there 
A) the ability to be calculated quickly 
B) the ability to withstand violations of assumptions 
C) the ability to locate error variance 
D) the ability to find something that is really there

Question 15

Foundation concepts underlying the reason for,and the use of,statistics are:

Accepted Answer

A) error and variance 
B) probability and error 
C) variance and probability 
D) variance and chance 
A) error and variance 
B) probability and error 
C) variance and probability 
D) variance and chance

Question 16

The related concepts of variance and error are the backbone of statistics.

Accepted Answer

A) True 
 B)False

Question 17

A constant is best characterized as:

Accepted Answer

A) a variable that only changes under certain circumstances 
B) a dependable phenomenon 
C) unchanging measurement 
D) the absence of error 
A) a variable that only changes under certain circumstances 
B) a dependable phenomenon 
C) unchanging measurement 
D) the absence of error

Question 18

Before taking a statistics course,everyone has already used statistics.Which of these is (are)an example of these statistics?

Accepted Answer

A) hash marks 
B) bar graph 
C) percentages 
D) all of the above 
A) hash marks 
B) bar graph 
C) percentages 
D) all of the above

Question 19

The two basic reasons for variance are

Accepted Answer

A) estimates of error and measuring instruments 
B) robustness and power 
C) simple statistics and poor understanding of statistical assumptions 
D) measurement inaccuracy and true differences between measurements 
A) estimates of error and measuring instruments 
B) robustness and power 
C) simple statistics and poor understanding of statistical assumptions 
D) measurement inaccuracy and true differences between measurements

Question 20

Any two identical measurements are sufficient to identify a constant.

Accepted Answer

A) True 
 B)False

Exam 1: Introduction to Statistics

Estimates of error will always have error in them.

A constant is a variable that always demonstrates a relationship with another variable.

Inferential statistics are used to establish the accuracy of measurement.

Which of the following best describes the concept of "variance"?

Accuracy:

Statistics are merely ways to make sense of and understand quantitative information.

Predictive statistics measure the strength of a relationship.

The different statistics we use to tell us about variance and error have different capabilities,particularly in regard to their accuracy and ability to withstand problems in the data.

Descriptive statistics are designed to describe statistical significance of a relationship.

Which of the following is more likely to be true?

The power of a statistic refers to

A "good" statistic is characterized by which of the following?

Chapter 1 in your textbook focuses on:

The robustness of a statistic refers to

Foundation concepts underlying the reason for,and the use of,statistics are:

The related concepts of variance and error are the backbone of statistics.

A constant is best characterized as:

Before taking a statistics course,everyone has already used statistics.Which of these is (are)an example of these statistics?

The two basic reasons for variance are

Any two identical measurements are sufficient to identify a constant.

Levels of Measurement

Graphical Statistics

Measures of Central Tendency

Measures of Dispersion

Curves and Distributions

Frequency Distributions

Elementary Relationships: Crosstabulation Tables

Hypotheses and Sampling Distributions

Statistical Significance

Testing for Significance: the Chi-Square Test

Testing for Significance in Two Groups: the T-Test

Testing for Significance in Multiple Groups: the Analysis of Variance Statistic

The Concept of Association

Testing for Association: Phi

Testing for Association: Pearsons R and Regression

Doing Real Research: Elementary Multivariate Relationships

Box Plots

Skewness and Kurtosis

Ordinal-Level Tests of Significance

Multiple Comparison Tests

Nominal Level Tests of Association

Ordinal Level Tests of Association

Addendum Probability

Filters