Question 1

Anything that can be measured and observed to vary is called

Accepted Answer

A)  a constant 
B)  a variable 
C)  an integer 
D)  all of these 
A)  a constant 
B)  a variable 
C)  an integer 
D)  all of these

Question 2

The statement that one can prove anything with statistics is only true when

Accepted Answer

A)  the data have been faked 
B)  the reader is naive regarding statistical procedures 
C)  the statement is always true 
D)  the statement is never true 
A)  the data have been faked 
B)  the reader is naive regarding statistical procedures 
C)  the statement is always true 
D)  the statement is never true

Question 3

An example of a variable would be

Accepted Answer

A)  height 
B)  weight 
C)  the number of inches in a foot 
D)  a and b, but not c 
A)  height 
B)  weight 
C)  the number of inches in a foot 
D)  a and b, but not c

Question 4

Since poll results are based on a sample size which is less than the population size, generalizing from the sample to the population demands

Accepted Answer

A)  data graphing 
B)  inferential statistics 
C)  descriptive statistics only 
D)  leap of faith 
A)  data graphing 
B)  inferential statistics 
C)  descriptive statistics only 
D)  leap of faith

Anything that can be measured and observed to vary is called

The statement that one can prove anything with statistics is only true when

An example of a variable would be

Since poll results are based on a sample size which is less than the population size, generalizing from the sample to the population demands

Percentages, Graphs and Measures of Central Tendency

Measures of Variability

The Normal Curve and Z Score

Z Scores, T Scores and Other Normal Curve Transformations

Probability

Statistics and Parameters

Parameter Estimates

The Fundamentals of Research Methodology

The Hypothesis of Difference

The Hypothesis of Association: Correlation

Analysis of Variance

Nominal Categorical Data and the Chi Square

Regression Analysis

Repeated-Measures and Matched-Subjects Designs Interval Data

Non-Parametrics Revisited: the Ordinal Case

Tests and Measurements

Filters

Exam 1: Introduction to Statistics

Anything that can be measured and observed to vary is called

The statement that one can prove anything with statistics is only true when

An example of a variable would be

Since poll results are based on a sample size which is less than the population size, generalizing from the sample to the population demands

Percentages, Graphs and Measures of Central Tendency

Measures of Variability

The Normal Curve and Z Score

Z Scores, T Scores and Other Normal Curve Transformations

Probability

Statistics and Parameters

Parameter Estimates

The Fundamentals of Research Methodology

The Hypothesis of Difference

The Hypothesis of Association: Correlation

Analysis of Variance

Nominal Categorical Data and the Chi Square

Regression Analysis

Repeated-Measures and Matched-Subjects Designs Interval Data

Non-Parametrics Revisited: the Ordinal Case

Tests and Measurements

Filters