A

alternative hypothesis
9.1 Null and Alternative Hypotheses,
9.3 Probability Distribution Needed for Hypothesis Testing

Analysis of Variance
Introduction

B

balanced design
12.3 The F Distribution and the F-Ratio

Bernoulli Trial
4.2 Binomial Distribution

binomial distribution
8.3 A Confidence Interval for A Population Proportion,
9.3 Probability Distribution Needed for Hypothesis Testing,
9.4 Full Hypothesis Test Examples

binomial probability distribution
4.2 Binomial Distribution

bivariate
13.1 The Correlation Coefficient r

Blinding
1.4 Experimental Design and Ethics

C

Categorical variables
1.1 Definitions of Statistics, Probability, and Key Terms

Central Limit Theorem
Introduction

chi-square distribution
11.1 Facts About the Chi-Square Distribution

coefficient of determination
13.4 The Regression Equation

coefficient of multiple determination
13.4 The Regression Equation

complement
3.1 Terminology

conditional probability of

*A*given*B*3.1 Terminology
confidence interval
Introduction,
8.2 A Confidence Interval When the Population Standard Deviation Is Unknown and Small Sample Case,
13.6 Predicting with a Regression Equation

control group
1.4 Experimental Design and Ethics

Convenience sampling
1.2 Data, Sampling, and Variation in Data and Sampling

correlation coefficient
13.1 The Correlation Coefficient r

critical values
9.3 Probability Distribution Needed for Hypothesis Testing

cumulative distribution function (CDF)
5.3 The Exponential Distribution

Cumulative relative frequency
1.3 Levels of Measurement

D

data
1.1 Definitions of Statistics, Probability, and Key Terms,
1.1 Definitions of Statistics, Probability, and Key Terms

degrees of freedom
8.2 A Confidence Interval When the Population Standard Deviation Is Unknown and Small Sample Case

degrees of freedom (

*df*) 10.1 Comparing Two Independent Population Means
descriptive statistics
1.1 Definitions of Statistics, Probability, and Key Terms

double-blind experiment
1.4 Experimental Design and Ethics

E

equal standard deviations
12.2 One-Way ANOVA

Equally likely
3.1 Terminology

estimate of the error variance
13.4 The Regression Equation

event
3.1 Terminology

expected mean
13.6 Predicting with a Regression Equation

expected value
13.6 Predicting with a Regression Equation

expected values
11.3 Goodness-of-Fit Test

experiment
3.1 Terminology

experimental unit
1.4 Experimental Design and Ethics

explanatory variable
1.4 Experimental Design and Ethics

exponential distribution
5.3 The Exponential Distribution

F

*F*distribution 12.3 The F Distribution and the F-Ratio

fair
3.1 Terminology

Finite Population Correction Factor
7.4 Finite Population Correction Factor

first quartile
2.2 Measures of the Location of the Data

frequency table
2.3 Measures of the Center of the Data

H

histogram
2.1 Display Data

hypergeometric experiment
4 Chapter Review

hypotheses
9.1 Null and Alternative Hypotheses

hypothesis testing
Introduction

I

Independent events
3.5 Venn Diagrams

Independent groups
Introduction

interquartile range
2.2 Measures of the Location of the Data

INTERSECTION
3.5 Venn Diagrams

interval scale
1.3 Levels of Measurement

L

Law of Large Numbers
7.2 Using the Central Limit Theorem

level of measurement
1.3 Levels of Measurement

long-term relative frequency
3.1 Terminology

lurking variables
1.4 Experimental Design and Ethics

M

matched pairs
Introduction

mean
1.1 Definitions of Statistics, Probability, and Key Terms,
1.1 Definitions of Statistics, Probability, and Key Terms,
2.3 Measures of the Center of the Data

mean square
12.3 The F Distribution and the F-Ratio

multiple correlation coefficient
13.4 The Regression Equation

multivariate
13.1 The Correlation Coefficient r

mutually exclusive
3.2 Independent and Mutually Exclusive Events,
3.3 Two Basic Rules of Probability

N

nominal scale
1.3 Levels of Measurement

nonsampling errors
1.2 Data, Sampling, and Variation in Data and Sampling

normal distribution
8.2 A Confidence Interval When the Population Standard Deviation Is Unknown and Small Sample Case

normally distributed
9.3 Probability Distribution Needed for Hypothesis Testing

null hypothesis
9.1 Null and Alternative Hypotheses,
9.3 Probability Distribution Needed for Hypothesis Testing

Numerical variables
1.1 Definitions of Statistics, Probability, and Key Terms

O

observed values
11.3 Goodness-of-Fit Test

one-way ANOVA
Introduction

ordinal scale
1.3 Levels of Measurement

outcome
3.1 Terminology

P

paired data set
2.1 Display Data

percentage impact
13.5 Interpretation of Regression Coefficients: Elasticity and Logarithmic Transformation

percentiles
2.2 Measures of the Location of the Data

point estimate
Introduction

population
1.1 Definitions of Statistics, Probability, and Key Terms,
1.2 Data, Sampling, and Variation in Data and Sampling

population variance
11.2 Test of a Single Variance

Power of the Test
9.2 Outcomes and the Type I and Type II Errors

prediction interval
13.6 Predicting with a Regression Equation

preset or preconceived α
9.3 Probability Distribution Needed for Hypothesis Testing

probability density function
Introduction,
5.1 Properties of Continuous Probability Density Functions

probability distribution function
Introduction

Q

Qualitative data
1.2 Data, Sampling, and Variation in Data and Sampling,
1.2 Data, Sampling, and Variation in Data and Sampling

quantitative continuous data
1.2 Data, Sampling, and Variation in Data and Sampling

Quantitative data
1.2 Data, Sampling, and Variation in Data and Sampling

quantitative discrete data
1.2 Data, Sampling, and Variation in Data and Sampling

quartiles
2.2 Measures of the Location of the Data

R

random assignment
1.4 Experimental Design and Ethics

random sampling
1.2 Data, Sampling, and Variation in Data and Sampling

random variable
Introduction,
10.1 Comparing Two Independent Population Means,
10.5 Two Population Means with Known Standard Deviations

ratio scale
1.3 Levels of Measurement

replacement
3.2 Independent and Mutually Exclusive Events

representative sample
1.1 Definitions of Statistics, Probability, and Key Terms

residual or "error"
13.4 The Regression Equation

response variable
1.4 Experimental Design and Ethics

S

sample space
3.1 Terminology,
3.3 Two Basic Rules of Probability,
3.4 Contingency Tables and Probability Trees

sampling bias
1.2 Data, Sampling, and Variation in Data and Sampling

sampling errors
1.2 Data, Sampling, and Variation in Data and Sampling

sampling without replacement
1.2 Data, Sampling, and Variation in Data and Sampling

significance level
9.3 Probability Distribution Needed for Hypothesis Testing

simple random sample
9.3 Probability Distribution Needed for Hypothesis Testing

standard deviation
2.7 Measures of the Spread of the Data,
8.2 A Confidence Interval When the Population Standard Deviation Is Unknown and Small Sample Case,
9.3 Probability Distribution Needed for Hypothesis Testing,
9.4 Full Hypothesis Test Examples

standard error
10.1 Comparing Two Independent Population Means

standard error of the estimate
13.4 The Regression Equation

standard normal distribution
6.1 The Standard Normal Distribution

standardizing formula
6.2 Using the Normal Distribution

stratified sample
1.2 Data, Sampling, and Variation in Data and Sampling

Student's t-distribution
8.2 A Confidence Interval When the Population Standard Deviation Is Unknown and Small Sample Case,
9.3 Probability Distribution Needed for Hypothesis Testing

Sum of Squared Errors (SSE)
13.4 The Regression Equation

sum of squares
12.3 The F Distribution and the F-Ratio

systematic sample
1.2 Data, Sampling, and Variation in Data and Sampling

T

test for homogeneity
11.5 Test for Homogeneity

test of a single variance
11.2 Test of a Single Variance

test of independence
11.4 Test of Independence

test statistic
9.3 Probability Distribution Needed for Hypothesis Testing,
10.5 Two Population Means with Known Standard Deviations

the Central Limit Theorem
7.1 The Central Limit Theorem for Sample Means

The standard deviation
10.5 Two Population Means with Known Standard Deviations

third quartile
2.2 Measures of the Location of the Data

treatments
1.4 Experimental Design and Ethics

tree diagram
3.4 Contingency Tables and Probability Trees

Type I error
9.2 Outcomes and the Type I and Type II Errors

Type II error
9.2 Outcomes and the Type I and Type II Errors

U

unfair
3.1 Terminology

UNION
3.5 Venn Diagrams

V

Variance between samples
12.3 The F Distribution and the F-Ratio

Variance within samples
12.3 The F Distribution and the F-Ratio

variances
12.2 One-Way ANOVA

Venn diagram
3.5 Venn Diagrams