Alexander Holmes; Barbara Illowsky; Susan Dean

A

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

Analysis of Variance Introduction

average 1.1 Definitions of Statistics, Probability, and Key Terms

B

balanced design 12.3 The F Distribution and the F-Ratio

bar graph 1.2 Data, Sampling, and Variation in Data and Sampling

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

Cohen's d 10.2 Cohen's Standards for Small, Medium, and Large Effect Sizes

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

confidence intervals 8.3 A Confidence Interval for A Population Proportion, Introduction

contingency table 3.4 Contingency Tables and Probability Trees, 11.4 Test of Independence

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

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

dependent variable 1.4 Experimental Design and Ethics, 1 Key Terms

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

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

double-blind experiment 1.4 Experimental Design and Ethics

E

Empirical Rule 6.1 The Standard Normal Distribution, Introduction

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

F ratio 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 1.3 Levels of Measurement, 2.1 Display Data

frequency table 2.3 Measures of the Center of the Data

G

geometric distribution 4.3 Geometric Distribution

goodness-of-fit test 11.3 Goodness-of-Fit Test

H

histogram 2.1 Display Data

hypergeometric experiment 4 Chapter Review

hypotheses 9.1 Null and Alternative Hypotheses

hypothesis test 9.3 Probability Distribution Needed for Hypothesis Testing, 9 Chapter Review

hypothesis testing Introduction

I

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

Independent events 3.5 Venn Diagrams

Independent groups Introduction

independent variable 1.4 Experimental Design and Ethics, 1 Key Terms

inferential statistics 1.1 Definitions of Statistics, Probability, and Key Terms, 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 3.1 Terminology, 7.2 Using the Central Limit Theorem

Law of Large Numbers 7.2 Using the Central Limit Theorem

level of measurement 1.3 Levels of Measurement

linear 13.1 The Correlation Coefficient r

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

median 2.2 Measures of the Location of the Data, 2.3 Measures of the Center of the Data

midpoint 2.3 Measures of the Center of the Data

mode 2.3 Measures of the Center of the Data

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

outlier 2.1 Display Data, 2.2 Measures of the Location of the Data

P

p-value 9.3 Probability Distribution Needed for Hypothesis Testing

paired data set 2.1 Display Data

parameter 1.1 Definitions of Statistics, Probability, and Key Terms, Introduction

Pareto chart 1.2 Data, Sampling, and Variation in Data and Sampling

Pearson 1.1 Definitions of Statistics, Probability, and Key Terms

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

percentiles 2.2 Measures of the Location of the Data

pie chart 1.2 Data, Sampling, and Variation in Data and Sampling

placebo 1.4 Experimental Design and Ethics

point estimate Introduction

Poisson probability distribution 4.4 Poisson Distribution, 4 Chapter Review

pooled variance 10.3 Test for Differences in Means: Assuming Equal Population Variances

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 1.1 Definitions of Statistics, Probability, and Key Terms, 3.1 Terminology

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

probability distribution function Introduction

proportion 1.1 Definitions of Statistics, Probability, and Key Terms

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

relative frequency 1.3 Levels of Measurement, 2.1 Display Data

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 1.1 Definitions of Statistics, Probability, and Key Terms

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

samples 1.2 Data, Sampling, and Variation in Data and Sampling

sampling 1.1 Definitions of Statistics, Probability, and Key Terms

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

statistic 1.1 Definitions of Statistics, Probability, and Key Terms

statistics 1.1 Definitions of Statistics, Probability, and Key Terms

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 9.3 Probability Distribution Needed for Hypothesis Testing

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

unit 13.5 Interpretation of Regression Coefficients: Elasticity and Logarithmic Transformation

unit change 13.5 Interpretation of Regression Coefficients: Elasticity and Logarithmic Transformation

units 13.5 Interpretation of Regression Coefficients: Elasticity and Logarithmic Transformation

V

variable 1.1 Definitions of Statistics, Probability, and Key Terms

variance 2.7 Measures of the Spread of the Data

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

Variation 1.2 Data, Sampling, and Variation in Data and Sampling

Venn diagram 3.5 Venn Diagrams

Z

z-score 8.2 A Confidence Interval When the Population Standard Deviation Is Unknown and Small Sample Case

z-scores 6.1 The Standard Normal Distribution

Index