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