Question 1

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 2

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

Question 3

What are most statistics primarily designed for?

Accepted Answer

A) to tell us something about error 
B) to provide the best measurement possible 
C) to provide estimates of probability 
D) to predict outcomes 
A) to tell us something about error 
B) to provide the best measurement possible 
C) to provide estimates of probability 
D) to predict outcomes

Question 4

There are two basic types of variance.They are:

Accepted Answer

A) constants and variables 
B) error variance and real variance 
C) systematic variance and random variance 
D) none of the above 
A) constants and variables 
B) error variance and real variance 
C) systematic variance and random variance 
D) none of the above

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

Why do we have many kinds of statistics?

What are most statistics primarily designed for?

There are two basic types of variance.They are:

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

Exam 1: Introduction to Statistics

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

Why do we have many kinds of statistics?

What are most statistics primarily designed for?

There are two basic types of variance.They are:

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