A

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

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,
9.4 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
3.1 Terminology

confidence interval
Introduction,
8.2 A Confidence Interval for a Population Standard Deviation Unknown, Small Sample Case,
13.6 Predicting with a Regression Equation

confidence level
8.1 A Confidence Interval for a Population Standard Deviation, Known or Large Sample Size

control group
1.4 Experimental Design and Ethics

critical values
9.3 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 for a Population Standard Deviation Unknown, 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

Error Bound Mean
8.1 A Confidence Interval for a Population Standard Deviation, Known or Large Sample Size

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

first quartile
2.2 Measures of the Location of the Data

H

histogram
2.1 Display Data

hypergeometric experiment
4 Chapter Review

hypotheses
9.1 Null and Alternative Hypotheses

hypothesis test
9 Chapter Review

hypothesis testing
Introduction

I

Independent groups
Introduction

interquartile range
2.2 Measures of the Location of the Data

interval scale
1.3 Levels of Measurement

L

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

normal distribution
8.2 A Confidence Interval for a Population Standard Deviation Unknown, Small Sample Case,
9.3 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

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 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

R

random assignment
1.4 Experimental Design and Ethics

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

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

significance level
9.3 Distribution Needed for Hypothesis Testing

standard deviation
2.7 Measures of the Spread of the Data,
8.2 A Confidence Interval for a Population Standard Deviation Unknown, Small Sample Case,
9.3 Distribution Needed for Hypothesis Testing

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

Student's t-distribution
8.2 A Confidence Interval for a Population Standard Deviation Unknown, Small Sample Case,
9.3 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

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 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

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