A

absolute value of a residual12.3 The Regression Equation

alternative hypothesis9.1 Null and Alternative Hypotheses

Area to the left
6.2 Using the Normal Distribution

Area to the right
6.2 Using the Normal Distribution

B

balanced design13.3 Facts About the F Distribution

Bernoulli Trial4.3 Binomial Distribution

binomial distribution7.3 Using the Central Limit Theorem, 8.3 A Population Proportion, 9.3 Distribution Needed for Hypothesis Testing

binomial probability distribution4.3 Binomial Distribution

bivariateIntroduction

Box plots2.4 Box Plots

box-and-whisker plots2.4 Box Plots

box-whisker plots2.4 Box Plots

C

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

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

central limit theoremIntroduction, 7.1 The Central Limit Theorem for Sample Means (Averages), 7.3 Using the Central Limit Theorem, 9.5 Additional Information and Full Hypothesis Test Examples

central limit theorem for means7.1 The Central Limit Theorem for Sample Means (Averages)

central limit theorem for sums7.2 The Central Limit Theorem for Sums

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

coefficient of determination12.3 The Regression Equation

complement3.1 Terminology

confidence level8.1 A Single Population Mean using the Normal Distribution, 8.3 A Population Proportion

continuity correction factor7.3 Using the Central Limit Theorem

continuous random variable5.3 The Exponential Distribution

control group1.4 Experimental Design and Ethics

critical value6.2 Using the Normal Distribution

cumulative distribution function (CDF)5.3 The Exponential Distribution

Cumulative relative frequency1.3 Frequency, Frequency Tables, and 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 Single Population Mean using the Student t Distribution

degrees of freedom (df)10.1 Two Population Means with Unknown Standard Deviations

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

double-blind experiment1.4 Experimental Design and Ethics

E

equal standard deviations13.1 One-Way ANOVA

error bound8.3 A Population Proportion

error bound for a population mean8.1 A Single Population Mean using the Normal Distribution, 8.2 A Single Population Mean using the Student t Distribution

event3.1 Terminology

expected value4.2 Mean or Expected Value and Standard Deviation, 4.2 Mean or Expected Value and Standard Deviation

expected values11.2 Goodness-of-Fit Test

experiment3.1 Terminology

experimental unit1.4 Experimental Design and Ethics

explanatory variable1.4 Experimental Design and Ethics

extrapolation12.5 Prediction

F

F distribution13.2 The F Distribution and the F-Ratio

fair3.1 Terminology

first quartile2.3 Measures of the Location of the Data

H

hypergeometric experiment4.8 Discrete Distribution (Lucky Dice Experiment)

hypergeometric probability4.5 Hypergeometric Distribution

hypotheses9.1 Null and Alternative Hypotheses

hypothesis test9.3 Distribution Needed for Hypothesis Testing, 9.5 Additional Information and Full Hypothesis Test Examples, 9.6 Hypothesis Testing of a Single Mean and Single Proportion

hypothesis testingIntroduction

I

Independent groupsIntroduction

influential points12.6 Outliers

informed consent1.4 Experimental Design and Ethics

Institutional Review Boards (IRB)1.4 Experimental Design and Ethics

interpolation12.5 Prediction

interquartile range2.3 Measures of the Location of the Data

L

Least-Squares Line12.3 The Regression Equation

least-squares regression line12.3 The Regression Equation

level of measurement1.3 Frequency, Frequency Tables, and Levels of Measurement

Line of Best Fit12.3 The Regression Equation

linear regression12.2 Scatter Plots

long-term relative frequency3.1 Terminology

lurking variables1.4 Experimental Design and Ethics

M

margin of errorIntroduction

matched pairsIntroduction

mean1.1 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 square13.2 The F Distribution and the F-Ratio

multivariateIntroduction

N

normal approximation to the binomial7.3 Using the Central Limit Theorem

normal distribution8.2 A Single Population Mean using the Student t Distribution, 8.3 A Population Proportion, 9.3 Distribution Needed for Hypothesis Testing, 10.2 Two Population Means with Known Standard Deviations

normally distributed7.1 The Central Limit Theorem for Sample Means (Averages), 7.2 The Central Limit Theorem for Sums, 9.3 Distribution Needed for Hypothesis Testing

null hypothesis9.1 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 variables1.1 Definitions of Statistics, Probability, and Key Terms

O

observed values11.2 Goodness-of-Fit Test

outcome3.1 Terminology

outlier2.1 Stem-and-Leaf Graphs (Stemplots), Line Graphs, and Bar Graphs, 2.3 Measures of the Location of the Data

outliers12.6 Outliers

P

p-value9.4 Rare Events, the Sample, Decision and Conclusion, 9.5 Additional Information and Full Hypothesis Test Examples

paired data set2.2 Histograms, Frequency Polygons, and Time Series Graphs

percentile7.2 The Central Limit Theorem for Sums

percentiles2.3 Measures of the Location of the Data

point estimateIntroduction

Poisson probability distribution4.6 Poisson Distribution, 4.8 Discrete Distribution (Lucky Dice Experiment)

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

population variance11.6 Test of a Single Variance

potential outlier12.6 Outliers

probability density functionIntroduction

probability distribution function4.1 Probability Distribution Function (PDF) for a Discrete Random Variable

Q

Qualitative data1.2 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 Two Population Means with Unknown Standard Deviations, 10.2 Two Population Means with Known Standard Deviations

relative frequency1.3 Frequency, Frequency Tables, and Levels of Measurement, 2.2 Histograms, Frequency Polygons, and Time Series Graphs

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

residual12.3 The Regression Equation

response variable1.4 Experimental Design and Ethics

S

sample size7.1 The Central Limit Theorem for Sample Means (Averages), 7.2 The Central Limit Theorem for Sums

sampling distribution2.5 Measures of the Center of the Data

sampling variability of a statistic2.7 Measures of the Spread of the Data

simple random sample9.3 Distribution Needed for Hypothesis Testing

single population mean9.3 Distribution Needed for Hypothesis Testing

single population proportion9.3 Distribution Needed for Hypothesis Testing

standard deviation2.7 Measures of the Spread of the Data, 8.2 A Single Population Mean using the Student t Distribution, 9.3 Distribution Needed for Hypothesis Testing, 9.3 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 of the mean.7.1 The Central Limit Theorem for Sample Means (Averages)

standard normal distribution6.1 The Standard Normal Distribution

Student's t-distribution8.2 A Single Population Mean using the Student t Distribution, 9.3 Distribution Needed for Hypothesis Testing, 9.3 Distribution Needed for Hypothesis Testing

Sum of Squared Errors (SSE)12.3 The Regression Equation

sum of squares13.2 The F Distribution and the F-Ratio

T

test for homogeneity11.4 Test for Homogeneity

test of a single variance11.6 Test of a Single Variance

test of independence11.3 Test of Independence

test statistic10.2 Two Population Means with Known Standard Deviations

The standard deviation10.2 Two Population Means with Known Standard Deviations

third quartile2.3 Measures of the Location of the Data

treatments1.4 Experimental Design and Ethics

tree diagram3.5 Tree and Venn Diagrams

Type I error9.2 Outcomes and the Type I and Type II Errors, 9.4 Rare Events, the Sample, Decision and Conclusion

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

V

Variance between samples13.2 The F Distribution and the F-Ratio

Variance within samples13.2 The F Distribution and the F-Ratio

variances13.1 One-Way ANOVA

Venn diagram3.5 Tree and Venn Diagrams