A

absolute value of a residual
12.3 The Regression Equation

alternative hypothesis
9.1 Null and Alternative Hypotheses

Analysis of Variance
Introduction

Area to the left
6.2 Using the Normal Distribution

Area to the right
6.2 Using the Normal Distribution

B

balanced design
13.3 Facts About the F Distribution

Bernoulli Trial
4.3 Binomial Distribution

binomial distribution
7.3 Using the Central Limit Theorem,
8.3 A Population Proportion,
9.3 Probability Distribution Needed for Hypothesis Testing

binomial probability distribution
4.3 Binomial Distribution

bivariate
Introduction

Blinding
1.4 Experimental Design and Ethics

Box plots
2.4 Box Plots

box-and-whisker plots
2.4 Box Plots

box-whisker plots
2.4 Box Plots

C

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

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

central limit theorem
Introduction,
7.1 The Central Limit Theorem for Sample Means (Averages),
7.3 Using the Central Limit Theorem

Central Limit Theorem
9.4 Rare Events, the Sample, Decision and Conclusion

central limit theorem for means
7.1 The Central Limit Theorem for Sample Means (Averages)

central limit theorem for sums
7.2 The Central Limit Theorem for Sums

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

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

coefficient of determination
12.3 The Regression Equation

complement of event

*A*3.1 Terminology
confidence level
8.1 A Single Population Mean using the Normal Distribution,
8.3 A Population Proportion

continuity correction factor
7.3 Using the Central Limit Theorem

continuous random variable
5.3 The Exponential Distribution

control group
1.4 Experimental Design and Ethics

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

critical value
6.2 Using the Normal Distribution

cumulative distribution function (CDF)
5.3 The Exponential Distribution

Cumulative relative frequency
1.3 Frequency, Frequency Tables, and 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 Single Population Mean using the Student t Distribution

degrees of freedom (

*df*) 10.1 Two Population Means with Unknown Standard Deviations
dependent events
3.2 Independent and Mutually Exclusive Events

descriptive statistics
1.1 Definitions of Statistics, Probability, and Key Terms

double-blind experiment
1.4 Experimental Design and Ethics

E

equal standard deviations
13.1 One-Way ANOVA

error bound
8.3 A Population Proportion

error bound for a population mean
8.1 A Single Population Mean using the Normal Distribution,
8.2 A Single Population Mean using the Student t Distribution

event
3.1 Terminology

expected value
4.2 Mean or Expected Value and Standard Deviation,
4.2 Mean or Expected Value and Standard Deviation

expected values
11.2 Goodness-of-Fit Test

experiment
3.1 Terminology

experimental unit
1.4 Experimental Design and Ethics

explanatory variable
1.4 Experimental Design and Ethics

extrapolation
12.5 Prediction

F

*F*distribution 13.2 The F Distribution and the F-Ratio

fair
3.1 Terminology

first quartile
2.3 Measures of the Location of the Data

frequency
1.3 Frequency, Frequency Tables, and Levels of Measurement,
2.2 Histograms, Frequency Polygons, and Time Series Graphs

Frequency polygons
2.2 Histograms, Frequency Polygons, and Time Series Graphs

frequency table
2.5 Measures of the Center of the Data

H

hypergeometric experiment
4 Chapter Review

hypergeometric probability
4.5 Hypergeometric Distribution

hypotheses
9.1 Null and Alternative Hypotheses

hypothesis test
9.3 Probability Distribution Needed for Hypothesis Testing,
9.5 Additional Information and Full Hypothesis Test Examples,
9 Chapter Review

hypothesis testing
Introduction

I

independent
3.3 Two Basic Rules of Probability

independent events
3.2 Independent and Mutually Exclusive Events

Independent groups
Introduction

influential points
12.6 Outliers

informed consent
1.4 Experimental Design and Ethics

Institutional Review Boards (IRB)
1.4 Experimental Design and Ethics

interpolation
12.5 Prediction

interquartile range
2.3 Measures of the Location of the Data

interval scale
1.3 Frequency, Frequency Tables, and Levels of Measurement

L

Least-Squares Line
12.3 The Regression Equation

least-squares regression line
12.3 The Regression Equation

level of measurement
1.3 Frequency, Frequency Tables, and Levels of Measurement

level of significance
9.5 Additional Information and Full Hypothesis Test Examples

Line of Best Fit
12.3 The Regression Equation

linear regression
12.2 Scatter Plots

long-term relative frequency
3.1 Terminology

lurking variables
1.4 Experimental Design and Ethics

M

margin of error
Introduction

matched pairs
Introduction

mean
1.1 Definitions of Statistics, Probability, and Key Terms,
1.1 Definitions of Statistics, Probability, and Key Terms,
2.5 Measures of the Center of the Data,
4.2 Mean or Expected Value and Standard Deviation,
Introduction,
7.1 The Central Limit Theorem for Sample Means (Averages),
7.3 Using the Central Limit Theorem

mean square
13.2 The F Distribution and the F-Ratio

multivariate
Introduction

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

N

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

normal approximation to the binomial
7.3 Using the Central Limit Theorem

normal distribution
8.2 A Single Population Mean using the Student t Distribution,
8.3 A Population Proportion,
10.2 Two Population Means with Known Standard Deviations

normally distributed
7.1 The Central Limit Theorem for Sample Means (Averages),
7.2 The Central Limit Theorem for Sums,
9.3 Probability Distribution Needed for Hypothesis Testing

null hypothesis
9.1 Null and Alternative Hypotheses,
9.4 Rare Events, the Sample, Decision and Conclusion,
9.4 Rare Events, the Sample, Decision and Conclusion,
9.4 Rare Events, the Sample, Decision and Conclusion

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

O

observed values
11.2 Goodness-of-Fit Test

one-way ANOVA
Introduction

outcome
3.1 Terminology

outlier
2.1 Stem-and-Leaf Graphs (Stemplots), Line Graphs, and Bar Graphs,
2.3 Measures of the Location of the Data

outliers
12.6 Outliers

P

*p*-value 9.4 Rare Events, the Sample, Decision and Conclusion, 9.5 Additional Information and Full Hypothesis Test Examples

paired data set
2.2 Histograms, Frequency Polygons, and Time Series Graphs

percentile
7.2 The Central Limit Theorem for Sums

percentiles
2.3 Measures of the Location of the Data

point estimate
Introduction

pooled proportion
10.3 Comparing Two Independent Population Proportions

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

population variance
11.6 Test of a Single Variance

potential outlier
12.6 Outliers

probability density function
Introduction

probability distribution function
4.1 Probability Distribution Function (PDF) for a Discrete Random Variable

Q

Qualitative data
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

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 Two Population Means with Unknown Standard Deviations,
10.2 Two Population Means with Known Standard Deviations

relative frequency
1.3 Frequency, Frequency Tables, and Levels of Measurement,
2.2 Histograms, Frequency Polygons, and Time Series Graphs

replacement
3.2 Independent and Mutually Exclusive Events

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

residual
12.3 The Regression Equation

response variable
1.4 Experimental Design and Ethics

S

sample size
7.1 The Central Limit Theorem for Sample Means (Averages),
7.2 The Central Limit Theorem for Sums

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

sampling distribution
2.5 Measures of the Center of the Data

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

sampling variability of a statistic
2.7 Measures of the Spread of the Data

Sampling with replacement
1.2 Data, Sampling, and Variation in Data and Sampling

simple random sample
9.3 Probability Distribution Needed for Hypothesis Testing

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

standard deviation
2.7 Measures of the Spread of the Data,
8.2 A Single Population Mean using the Student t Distribution,
9.3 Probability Distribution Needed for Hypothesis Testing,
9.4 Rare Events, the Sample, Decision and Conclusion,
9.5 Additional Information and Full Hypothesis Test Examples

standard error
10.1 Two Population Means with Unknown Standard Deviations

standard error of the mean.
7.1 The Central Limit Theorem for Sample Means (Averages)

standard normal distribution
6.1 The Standard Normal Distribution

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

Student's t-distribution
8.2 A Single Population Mean using the Student t Distribution,
9.3 Probability Distribution Needed for Hypothesis Testing

Sum of Squared Errors (SSE)
12.3 The Regression Equation

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

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

T

test for homogeneity
11.4 Test for Homogeneity

test of a single variance
11.6 Test of a Single Variance

test of independence
11.3 Test of Independence

test statistic
10.2 Two Population Means with Known Standard Deviations

The standard deviation
10.2 Two Population Means with Known Standard Deviations

third quartile
2.3 Measures of the Location of the Data

treatments
1.4 Experimental Design and Ethics

tree diagram
3.5 Tree and Venn Diagrams

Type I error
9.2 Outcomes and the Type I and Type II Errors,
9.4 Rare Events, the Sample, Decision and Conclusion

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

V

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

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

variances
13.1 One-Way ANOVA

Venn diagram
3.5 Tree and Venn Diagrams