A

alternative hypothesis9.1 Null and Alternative Hypotheses, 9.3 Distribution Needed for Hypothesis Testing

B

balanced design12.3 The F Distribution and the F-Ratio

Bernoulli Trial4.2 Binomial Distribution

binomial distribution8.3 A Confidence Interval for A Population Proportion, 9.4 Full Hypothesis Test Examples

binomial probability distribution4.2 Binomial Distribution

bivariate13.1 The Correlation Coefficient r

C

Categorical variables1.1 Definitions of Statistics, Probability, and Key Terms

Central Limit TheoremIntroduction

chi-square distribution11.1 Facts About the Chi-Square Distribution

coefficient of determination13.4 The Regression Equation

coefficient of multiple determination13.4 The Regression Equation

complement3.1 Terminology

conditional probability3.1 Terminology

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

confidence level8.1 A Confidence Interval for a Population Standard Deviation, Known or Large Sample Size

control group1.4 Experimental Design and Ethics

critical values9.3 Distribution Needed for Hypothesis Testing

cumulative distribution function (CDF)5.3 The Exponential Distribution

Cumulative relative frequency1.3 Levels of Measurement

D

data1.1 Definitions of Statistics, Probability, and Key Terms, 1.1 Definitions of Statistics, Probability, and Key Terms

degrees of freedom8.2 A Confidence Interval for a Population Standard Deviation Unknown, Small Sample Case

degrees of freedom (df)10.1 Comparing Two Independent Population Means

descriptive statistics1.1 Definitions of Statistics, Probability, and Key Terms

double-blind experiment1.4 Experimental Design and Ethics

E

equal standard deviations12.2 One-Way ANOVA

Equally likely3.1 Terminology

Error Bound Mean8.1 A Confidence Interval for a Population Standard Deviation, Known or Large Sample Size

estimate of the error variance13.4 The Regression Equation

event3.1 Terminology

expected mean13.6 Predicting with a Regression Equation

expected value13.6 Predicting with a Regression Equation

expected values11.3 Goodness-of-Fit Test

experiment3.1 Terminology

experimental unit1.4 Experimental Design and Ethics

explanatory variable1.4 Experimental Design and Ethics

exponential distribution5.3 The Exponential Distribution

F

F distribution12.3 The F Distribution and the F-Ratio

fair3.1 Terminology

first quartile2.2 Measures of the Location of the Data

H

histogram2.1 Display Data

hypergeometric experiment4.4 Poisson Distribution

hypotheses9.1 Null and Alternative Hypotheses

hypothesis test9.4 Full Hypothesis Test Examples

hypothesis testingIntroduction

I

Independent groupsIntroduction

interquartile range2.2 Measures of the Location of the Data

interval scale1.3 Levels of Measurement

L

level of measurement1.3 Levels of Measurement

long-term relative frequency3.1 Terminology

lurking variables1.4 Experimental Design and Ethics

M

matched pairsIntroduction

mean1.1 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 square12.3 The F Distribution and the F-Ratio

multiple correlation coefficient13.4 The Regression Equation

multivariate13.1 The Correlation Coefficient r

N

nominal scale1.3 Levels of Measurement

normal distribution8.2 A Confidence Interval for a Population Standard Deviation Unknown, Small Sample Case, 9.3 Distribution Needed for Hypothesis Testing

Numerical variables1.1 Definitions of Statistics, Probability, and Key Terms

O

observed values11.3 Goodness-of-Fit Test

ordinal scale1.3 Levels of Measurement

outcome3.1 Terminology

P

paired data set2.1 Display Data

percentage impact13.5 Interpretation of Regression Coefficients: Elasticity and Logarithmic Transformation

percentiles2.2 Measures of the Location of the Data

point estimateIntroduction

population1.1 Definitions of Statistics, Probability, and Key Terms, 1.2 Data, Sampling, and Variation in Data and Sampling

population variance11.2 Test of a Single Variance

Power of the Test9.2 Outcomes and the Type I and Type II Errors

prediction interval13.6 Predicting with a Regression Equation

preset or preconceived Î±9.3 Distribution Needed for Hypothesis Testing

probability density functionIntroduction, 5.1 Properties of Continuous Probability Density Functions

probability distribution functionIntroduction

Q

Qualitative data1.2 Data, Sampling, and Variation in Data and Sampling, 1.2 Data, Sampling, and Variation in Data and Sampling

quantitative continuous data1.2 Data, Sampling, and Variation in Data and Sampling

Quantitative data1.2 Data, Sampling, and Variation in Data and Sampling

quantitative discrete data1.2 Data, Sampling, and Variation in Data and Sampling

R

random assignment1.4 Experimental Design and Ethics

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

ratio scale1.3 Levels of Measurement

representative sample1.1 Definitions of Statistics, Probability, and Key Terms

response variable1.4 Experimental Design and Ethics

S

sample space3.1 Terminology, 3.3 Two Basic Rules of Probability, 3.4 Contingency Tables and Probability Trees

significance level9.3 Distribution Needed for Hypothesis Testing

standard deviation2.7 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 error10.1 Comparing Two Independent Population Means

standard error of the estimate13.4 The Regression Equation

standard normal distribution6.1 The Standard Normal Distribution

standardizing formula6.2 Using the Normal Distribution

Student's t-distribution8.2 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 squares12.3 The F Distribution and the F-Ratio

T

test for homogeneity11.5 Test for Homogeneity

test of a single variance11.2 Test of a Single Variance

test of independence11.4 Test of Independence

test statistic9.3 Distribution Needed for Hypothesis Testing, 10.5 Two Population Means with Known Standard Deviations

the Central Limit Theorem7.1 The Central Limit Theorem for Sample Means

The standard deviation10.5 Two Population Means with Known Standard Deviations

third quartile2.2 Measures of the Location of the Data

treatments1.4 Experimental Design and Ethics

tree diagram3.4 Contingency Tables and Probability Trees

Type I error9.2 Outcomes and the Type I and Type II Errors

Type II error9.2 Outcomes and the Type I and Type II Errors

U

unfair3.1 Terminology

V

Variance between samples12.3 The F Distribution and the F-Ratio

Variance within samples12.3 The F Distribution and the F-Ratio

variances12.2 One-Way ANOVA

Venn diagram3.5 Venn Diagrams