Question 1

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 2

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 3

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 4

There are three general types of statistics. Which of the following is NOT one of those?

Accepted Answer

A)  graphic 
B)  predictive 
C)  descriptive 
D)  inferential 
A)  graphic 
B)  predictive 
C)  descriptive 
D)  inferential

Question 5

Why do we have many kinds of statistics?

Accepted Answer

A)  because of many statisticians creating tools for handling special problems 
B)  because of the need for different types of samples 
C)  it is simply a product of 200 years of historical development 
D)  because of the many types of error and variance 
A)  because of many statisticians creating tools for handling special problems 
B)  because of the need for different types of samples 
C)  it is simply a product of 200 years of historical development 
D)  because of the many types of error and variance

Which of the following is more likely to be true?

The two basic reasons for variance are

The power of a statistic refers to

There are three general types of statistics. Which of the following is NOT one of those?

Why do we have many kinds of statistics?

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

Statistics and Data Analysis

Filters

Exam 1: Introduction to Statistics

Which of the following is more likely to be true?

The two basic reasons for variance are

The power of a statistic refers to

There are three general types of statistics. Which of the following is NOT one of those?

Why do we have many kinds of statistics?

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

Statistics and Data Analysis

Filters