Question 1

Once a set of measurements is recorded, they form a

Accepted Answer

A)  discrete series 
B)  continuous series 
C)  set of exact numbers 
D)  population 
A)  discrete series 
B)  continuous series 
C)  set of exact numbers 
D)  population

Question 2

Parameter is to population as ____________ is to sample

Accepted Answer

A)  element 
B)  constant 
C)  variable 
D)  statistic 
A)  element 
B)  constant 
C)  variable 
D)  statistic

Question 3

If the scores 100, 120, and 140 are scores on an interval scale, which statement is true?

Accepted Answer

A)  The score of 120 represents a 20% increase over the score of 100. 
B)  The score of 140 represents as much increase over 120 as 120 does over 100. 
C)  Both (a) and (b) are true. 
D)  Neither (a) nor (b) is true. 
A)  The score of 120 represents a 20% increase over the score of 100. 
B)  The score of 140 represents as much increase over 120 as 120 does over 100. 
C)  Both (a) and (b) are true. 
D)  Neither (a) nor (b) is true.

Question 4

The branch of statistics concerned with chance factors associated with drawing a sample is known as

Accepted Answer

A)  random statistics 
B)  population statistics 
C)  descriptive statistics 
D)  inferential statistics 
A)  random statistics 
B)  population statistics 
C)  descriptive statistics 
D)  inferential statistics

Question 5

Suppose we are interested in the average reading achievement test score of the currently enrolled students in Edison Elementary School.
-The average score of all students in Edison School is a

Accepted Answer

A)  sample 
B)  statistic 
C)  parameter 
D)  variable 
A)  sample 
B)  statistic 
C)  parameter 
D)  variable

Once a set of measurements is recorded, they form a

Parameter is to population as ____________ is to sample

If the scores 100, 120, and 140 are scores on an interval scale, which statement is true?

The branch of statistics concerned with chance factors associated with drawing a sample is known as

Suppose we are interested in the average reading achievement test score of the currently enrolled students in Edison Elementary School. -The average score of all students in Edison School is a

Frequency Distributions, Percentiles,

Graphic Representation of Frequency Distributions

Central Tendency

Variability and Standard Z Scores

Standard Scores and the Normal Curve

Correlation

Prediction

Interpretive Aspects of Correlation and Regression

Probability

Random Sampling and Sampling Distributions

Introduction to Statistical Inference: Testing Hypotheses About Single Means Z and T

Interpreting the Results of Hypothesis Testing: Effect Size, Type I and Type II Errors, and Power

Testing Hypotheses About the Difference Between Two Independent Groups

Testing for a Difference

Inference About Correlation Coefficients

An Alternative to Hypothesis Testing: Confidence Intervals

Testing for Differences Among Three or More Groups: One-Way Analysis of Variance and Some Alternatives

Factorial Analysis of Variance

Chi-Square and Inference About Frequencies

Some Almost Assumption-Free Tests

Filters

Exam 1: Introduction

Once a set of measurements is recorded, they form a

Parameter is to population as ____________ is to sample

If the scores 100, 120, and 140 are scores on an interval scale, which statement is true?

The branch of statistics concerned with chance factors associated with drawing a sample is known as

Suppose we are interested in the average reading achievement test score of the currently enrolled students in Edison Elementary School. -The average score of all students in Edison School is a

Frequency Distributions, Percentiles,

Graphic Representation of Frequency Distributions

Central Tendency

Variability and Standard Z Scores

Standard Scores and the Normal Curve

Correlation

Prediction

Interpretive Aspects of Correlation and Regression

Probability

Random Sampling and Sampling Distributions

Introduction to Statistical Inference: Testing Hypotheses About Single Means Z and T

Interpreting the Results of Hypothesis Testing: Effect Size, Type I and Type II Errors, and Power

Testing Hypotheses About the Difference Between Two Independent Groups

Testing for a Difference

Inference About Correlation Coefficients

An Alternative to Hypothesis Testing: Confidence Intervals

Testing for Differences Among Three or More Groups: One-Way Analysis of Variance and Some Alternatives

Factorial Analysis of Variance

Chi-Square and Inference About Frequencies

Some Almost Assumption-Free Tests

Filters