# 14.3: Index

A

alternative hypothesis 9.1 Null and Alternative Hypotheses9.3 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 Proportion9.4 Full Hypothesis Test Examples

binomial probability distribution 4.2 Binomial Distribution

bivariate 13.1 The Correlation Coefficient r

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 intervals 8.3 A Confidence Interval for A Population ProportionIntroduction

contingency table 3.4 Contingency Tables and Probability Trees11.4 Test of Independence

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

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

dependent variable 1.4 Experimental Design and Ethics1.4 Experimental Design and Ethics

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

double-blind experiment 1.4 Experimental Design and Ethics

E

Empirical Rule 6.1 The Standard Normal DistributionIntroduction

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

fair 3.1 Terminology

first quartile 2.2 Measures of the Location 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 4.4 Poisson Distribution

hypotheses 9.1 Null and Alternative Hypotheses

hypothesis test 9.4 Full Hypothesis Test Examples

hypothesis testing Introduction

I

Independent groups Introduction

independent variable 1.4 Experimental Design and Ethics1.4 Experimental Design and Ethics

inferential statistics 1.1 Definitions of Statistics, Probability, and Key TermsIntroduction

interquartile range 2.2 Measures of the Location of the Data

interval scale 1.3 Levels of Measurement

L

law of large numbers 3.1 Terminology7.2 Using the Central Limit Theorem

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 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

N

nominal scale 1.3 Levels of Measurement

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

percentiles 2.2 Measures of the Location of the Data

point estimate Introduction

Poisson probability distribution 4.4 Poisson Distribution4.4 Poisson Distribution

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 $$bf{\alpha}$$ 9.3 Distribution Needed for Hypothesis Testing

probability density function Introduction5.1 Properties of Continuous Probability Density Functions

probability distribution function Introduction

Q

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

ratio scale 1.3 Levels of Measurement

relative frequency 1.3 Levels of Measurement2.1 Display Data

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

response variable 1.4 Experimental Design and Ethics

S

significance level 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

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

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

Z