Index

A note on the digital index

A link in an index entry is displayed as the section title in which that entry appears. Because some sections have multiple index markers, it is not unusual for an entry to have several links to the same section. Clicking on any link will take you directly to the place in the text in which the marker appears.

B

bar plot, Plotting Histograms, Plotting PMFs
baseball, Streaks and Hot Spots
basketball, Streaks and Hot Spots
Bayes factor, Reporting Bayesian Probabilities
Bayesian estimation, The Distribution Framework, Confidence Intervals, The Locomotive Problem
Bayesian probability, Interpreting the Result, Reporting Bayesian Probabilities
Bayesianism, Probability, Glossary, Bayesian Estimation
Bayes’s theorem, Bayes’s Theorem
Behavioral Risk Factor Surveillance System, The Lognormal Distribution, The Lognormal Distribution, Poincaré, Making Scatterplots in Pyplot, Spearman’s Rank Correlation, Least Squares Fit, Goodness of Fit
belief, Probability, Glossary, Reporting Bayesian Probabilities
bias, Do First Babies Arrive Late?, Do First Babies Arrive Late?, The Class Size Paradox, The Class Size Paradox, The Class Size Paradox
confirmation, Do First Babies Arrive Late?
oversampling, The Class Size Paradox, The Class Size Paradox
selection, Do First Babies Arrive Late?, The Class Size Paradox
biased estimator, Guess the Variance, Exponential Distributions, Glossary
bin, Relative Risk, Glossary, The Distribution Framework
binning, The Limits of PMFs
binomial coefficient, Binomial Distribution
binomial distribution, Binomial Distribution
birth time, The Exponential Distribution
birth weight, The Limits of PMFs, Back to the Survey Data, Back to the Survey Data, Random Numbers, Summary Statistics Revisited, The Normal Distribution, Normal Probability Plot, Skewness, Interpreting the Result, Correlation and Causation
birthday, The Exponential Distribution
bisection algorithm, Representing CDFs
Blue Man Group, PDFs
booyah, Convolution
bread police, Poincaré
BRFSS, The Lognormal Distribution, The Lognormal Distribution, Poincaré, Making Scatterplots in Pyplot, Spearman’s Rank Correlation, Least Squares Fit, Goodness of Fit
brfss.py, The Lognormal Distribution, Spearman’s Rank Correlation
brfss_corr.py, Spearman’s Rank Correlation, Least Squares Fit, Goodness of Fit
brfss_figs.py, The Lognormal Distribution
brfss_scatter.py, Making Scatterplots in Pyplot, Spearman’s Rank Correlation
Brisbane, The Exponential Distribution

C

cancer cluster, Streaks and Hot Spots
casino, Chi-Square Test
Cauchy-Schwarz inequality, Correlation
causation, Correlation and Causation
CCDF, The Exponential Distribution, The Exponential Distribution, The Pareto Distribution, The Pareto Distribution, The Lognormal Distribution
CDF, The Limits of PMFs, Cumulative Distribution Functions, Glossary, The Exponential Distribution, The Exponential Distribution, The Pareto Distribution, The Pareto Distribution, The Pareto Distribution, The Normal Distribution, The Lognormal Distribution, The Lognormal Distribution, Generating Random Numbers, Random Variables, PDFs, The Distribution Framework
complementary, The Exponential Distribution, The Exponential Distribution, The Pareto Distribution, The Pareto Distribution, The Lognormal Distribution
Cdf object, Representing CDFs
Cdf.py, Representing CDFs, Representing CDFs, Random Numbers
cell, Chi-Square Test, Glossary
censored data, Censored Data, Glossary
Central Limit Theorem, Central Limit Theorem, Glossary
central tendency, Means and Averages, Glossary, Summary Statistics Revisited
ch-square test, Glossary
chance, Hypothesis Testing, Defining the Effect
chapeau, Tables and Records
chi-square distribution, Confidence Intervals
chi-square statistic, Chi-Square Test
chi-square test, Chi-Square Test
chi.py, Chi-Square Test
city size, The Lognormal Distribution
class size, The Class Size Paradox
class_size.py, The Class Size Paradox
clinically significant, Reporting Results, Glossary
cluster, Streaks and Hot Spots
clustering illusion, Streaks and Hot Spots
coefficient, Poincaré, Binomial Distribution, Glossary, Skewness, Skewness, Standard Scores, Correlation, Correlation, Correlation, Spearman’s Rank Correlation, Spearman’s Rank Correlation, Least Squares Fit, Goodness of Fit, Glossary
binomial, Binomial Distribution
correlation, Standard Scores, Correlation, Correlation, Correlation, Spearman’s Rank Correlation, Spearman’s Rank Correlation, Least Squares Fit
determination, Goodness of Fit, Glossary
Gini, Skewness
skewness, Skewness
variation, Poincaré, Glossary
cohort, Glossary, Conditional Probability, Conditional Distributions, Streaks and Hot Spots, Cross-Validation
coin, Another Rule of Probability, Binomial Distribution, Defining the Effect
Coleman, Norm, Censored Data
colormap, Making Scatterplots in Pyplot
comic, Correlation and Causation
complementary CDF, The Exponential Distribution, The Exponential Distribution, The Pareto Distribution, The Pareto Distribution, The Lognormal Distribution
compression, Why Model?
computation, Statistical Thinking for Programmers, Least Squares Fit
conditional distribution, Conditional Distributions, Glossary
conditional probability, Conditional Probability, Glossary, Rules of Probability, Bayes’s Theorem
conditional.py, Conditional Probability
confidence interval, Confidence Intervals, Glossary
confirmation bias, Do First Babies Arrive Late?
confused Monty problem, Monty Hall
conjunction fallacy, Rules of Probability
continuous, The Distribution Framework
continuous distribution, Continuous Distributions, Glossary
contradiction, proof by, Hypothesis Testing
contributors, Contributor List
control group, Correlation and Causation, Glossary
controlled trial, Correlation and Causation
convergence, Central Limit Theorem, Reporting Bayesian Probabilities
convolution, Convolution, Why Normal?, Glossary
cookie, Bayes’s Theorem
corpus, The Pareto Distribution, Glossary
correlation, Standard Scores, Correlation, Correlation and Causation, Glossary
correlation coefficient, Correlation
correlation.py, Covariance, Correlation, Spearman’s Rank Correlation, Least Squares Fit, Goodness of Fit
cost function, Least Squares Fit
covariance, Covariance, Correlation, Glossary
credible interval, Bayesian Estimation, The Locomotive Problem, Glossary
crooked die, Chi-Square Test
cross-sectional study, The National Survey of Family Growth, Glossary
cross-validation, Cross-Validation, Glossary
cumulative distribution function, The Limits of PMFs, Cumulative Distribution Functions, Random Variables
cycle, The National Survey of Family Growth, Cross-Validation

D

dance, Poincaré
data collection, A Statistical Approach
database, Tables and Records
decay, Censored Data
decay.py, Censored Data
density, PDFs
dependent variable, Goodness of Fit, Glossary
derivative, PDFs
descriptive statistics, A Statistical Approach, Means and Averages
descriptive.py, Plotting PMFs
deviation, Variance, Skewness, Standard Scores, Covariance
diachronic, Bayes’s Theorem
dice, Probability, Rules of Probability, Rules of Probability, Another Rule of Probability, Chi-Square Test
dictionary, Distributions
DiMaggio, Joe, Streaks and Hot Spots
discrete, The Distribution Framework
distribution, Distributions, Glossary, Conditional Distributions, Random Numbers, Continuous Distributions, Continuous Distributions, The Exponential Distribution, The Exponential Distribution, The Exponential Distribution, The Pareto Distribution, The Pareto Distribution, The Pareto Distribution, The Pareto Distribution, The Pareto Distribution, The Pareto Distribution, The Normal Distribution, The Normal Distribution, Normal Probability Plot, Normal Probability Plot, Normal Probability Plot, Normal Probability Plot, Normal Probability Plot, Normal Probability Plot, Normal Probability Plot, The Lognormal Distribution, The Lognormal Distribution, The Lognormal Distribution, The Lognormal Distribution, The Lognormal Distribution, Why Model?, Generating Random Numbers, Generating Random Numbers, Generating Random Numbers, Glossary, Glossary, Poincaré, Poincaré, Poincaré, Binomial Distribution, Random Variables, Random Variables, Random Variables, PDFs, PDFs, PDFs, PDFs, PDFs, Convolution, Convolution, Convolution, Convolution, Why Normal?, Why Normal?, Why Normal?, Why Normal?, Why Normal?, Central Limit Theorem, Central Limit Theorem, Central Limit Theorem, Central Limit Theorem, Central Limit Theorem, Central Limit Theorem, Central Limit Theorem, Central Limit Theorem, Central Limit Theorem, Central Limit Theorem, The Distribution Framework, The Distribution Framework, The Distribution Framework, Efficient Resampling, Efficient Resampling, The Estimation Game, The Estimation Game, The Estimation Game, The Estimation Game, The Estimation Game, The Estimation Game, Guess the Variance, Guess the Variance, Guess the Variance, Guess the Variance, Exponential Distributions, Confidence Intervals, Confidence Intervals, Bayesian Estimation, Bayesian Estimation, Implementing Bayesian Estimation, Implementing Bayesian Estimation, Censored Data, Censored Data, The Locomotive Problem, The Locomotive Problem, Standard Scores, Standard Scores, Standard Scores, Making Scatterplots in Pyplot, Spearman’s Rank Correlation, Spearman’s Rank Correlation, Spearman’s Rank Correlation, Spearman’s Rank Correlation, Least Squares Fit
binomial, Binomial Distribution
chi-square, Confidence Intervals
conditional, Conditional Distributions
continuous, Continuous Distributions, Glossary
empirical, Continuous Distributions, The Exponential Distribution, Glossary
Erlang, Random Variables, Convolution
exponential, The Exponential Distribution, The Exponential Distribution, The Pareto Distribution, The Pareto Distribution, Normal Probability Plot, Generating Random Numbers, Random Variables, PDFs, PDFs, Convolution, Convolution, Why Normal?, Central Limit Theorem, Central Limit Theorem, The Distribution Framework, Exponential Distributions, Confidence Intervals, Bayesian Estimation, Implementing Bayesian Estimation, Censored Data
Gaussian, The Normal Distribution, Normal Probability Plot, Normal Probability Plot, The Lognormal Distribution, Poincaré, PDFs, Why Normal?, Central Limit Theorem, Central Limit Theorem, The Distribution Framework, Efficient Resampling, The Estimation Game, The Estimation Game, The Estimation Game, Guess the Variance, Guess the Variance, Standard Scores, Spearman’s Rank Correlation
Gumbel, Random Variables, Convolution
lognormal, The Lognormal Distribution, The Lognormal Distribution, Poincaré, Why Normal?, Central Limit Theorem, Central Limit Theorem, Spearman’s Rank Correlation, Spearman’s Rank Correlation
normal, The Normal Distribution, Normal Probability Plot, Normal Probability Plot, The Lognormal Distribution, Poincaré, PDFs, PDFs, Why Normal?, Central Limit Theorem, Central Limit Theorem, The Distribution Framework, Efficient Resampling, The Estimation Game, The Estimation Game, The Estimation Game, Guess the Variance, Guess the Variance, Standard Scores, Spearman’s Rank Correlation
Pareto, The Pareto Distribution, The Pareto Distribution, The Pareto Distribution, Normal Probability Plot, The Lognormal Distribution, Why Model?, Why Normal?, Central Limit Theorem, Central Limit Theorem
uniform, Random Numbers, Generating Random Numbers, Bayesian Estimation, Implementing Bayesian Estimation, Censored Data, The Locomotive Problem, The Locomotive Problem, Standard Scores, Making Scatterplots in Pyplot
Weibull, The Pareto Distribution, Normal Probability Plot, Generating Random Numbers, Least Squares Fit
distribution framework, The Distribution Framework
distributions, operations on, Skewness
drug testing, Bayes’s Theorem

J

JAMA, Bayes’s Theorem
James Joyce Ramble, Conditional Distributions
jitter, Making Scatterplots in Pyplot
Journal of the American Medical Association, Bayes’s Theorem

M

MacKay, David, Bayes’s Theorem, Reporting Bayesian Probabilities, Censored Data
map, Distributions
margin of error, Censored Data
margin of victory, Censored Data
Martin, Steve, Tables and Records
mass, PDFs
matplotlib, Plotting Histograms
max, Convolution
maximum likelihood estimator, The Estimation Game, Exponential Distributions, The Locomotive Problem, Glossary, Least Squares Fit
mean, Means and Averages, Representing PMFs, Outliers, Outliers, The Exponential Distribution, Central Limit Theorem, Chi-Square Test, The Estimation Game, The Estimation Game, Exponential Distributions, Standard Scores
trimmed, Outliers
truncated, Outliers
mean squared error, The Estimation Game, The Locomotive Problem, Glossary
mean, difference in, Testing a Difference in Means, Efficient Resampling
median, Summary Statistics Revisited, The Exponential Distribution, The Pareto Distribution, The Estimation Game, The Estimation Game, Exponential Distributions
medicine, Correlation and Causation
method, init, Tables and Records, Random Variables
Minnesota Senate Race, Censored Data
MLE, The Estimation Game, Exponential Distributions, The Locomotive Problem, Glossary, Least Squares Fit
Mlodinow, Leonard, Rules of Probability
mode, Representing Histograms, Plotting Histograms, Glossary
model, The Normal Distribution, Normal Probability Plot, Normal Probability Plot, The Lognormal Distribution, Why Model?, Glossary
moment of inertia, PDFs
Monte Carlo, Streaks and Hot Spots, Streaks and Hot Spots, Streaks and Hot Spots, Glossary, Chi-Square Test
Monty Hall, Monty Hall, Monty Hall
confused, Monty Hall
problem, Monty Hall
Mosteller, Frederick, The Locomotive Problem
MSE, The Estimation Game, The Estimation Game, The Locomotive Problem, Glossary
Munroe, Randall, Correlation and Causation
mutually exclusive, Another Rule of Probability
myplot.py, Plotting Histograms, Representing CDFs

N

National Survey of Family Growth, The National Survey of Family Growth, The National Survey of Family Growth, Plotting PMFs, Other Visualizations, The Limits of PMFs, Back to the Survey Data, Random Numbers, The Normal Distribution, Hypothesis Testing, Testing a Difference in Means, Testing a Difference in Means, Choosing a Threshold, Defining the Effect, Interpreting the Result, Interpreting the Result, Cross-Validation, Chi-Square Test, Correlation and Causation
natural experiment, Correlation and Causation, Glossary
noise, Making Scatterplots in Pyplot
normal distribution, The Normal Distribution, Normal Probability Plot, Normal Probability Plot, The Lognormal Distribution, Poincaré, PDFs, PDFs, Why Normal?, Central Limit Theorem, Central Limit Theorem, The Distribution Framework, Efficient Resampling, The Estimation Game, The Estimation Game, The Estimation Game, Guess the Variance, Guess the Variance, Standard Scores, Spearman’s Rank Correlation
normal probability plot, Normal Probability Plot, Glossary
normalization, Distributions, Glossary
normalize, Standard Scores, Glossary
normalizing constant, Bayes’s Theorem, Glossary
NSFG, The National Survey of Family Growth, The National Survey of Family Growth, Plotting PMFs, Other Visualizations, The Limits of PMFs, Back to the Survey Data, Random Numbers, The Normal Distribution, Hypothesis Testing, Testing a Difference in Means, Testing a Difference in Means, Choosing a Threshold, Defining the Effect, Interpreting the Result, Interpreting the Result, Cross-Validation, Chi-Square Test, Correlation and Causation
null hypothesis, Hypothesis Testing, Testing a Difference in Means, Reporting Bayesian Probabilities, Glossary

P

p-value, Hypothesis Testing, Testing a Difference in Means, Efficient Resampling, Glossary
parameter, The Exponential Distribution, The Pareto Distribution, The Pareto Distribution, The Normal Distribution, The Lognormal Distribution, Why Model?, Generating Random Numbers, The Estimation Game, Exponential Distributions, Bayesian Estimation
Pareto distribution, The Pareto Distribution, The Pareto Distribution, The Pareto Distribution, Normal Probability Plot, The Lognormal Distribution, Why Model?, Why Normal?, Central Limit Theorem, Central Limit Theorem
Pareto World, The Pareto Distribution
Pareto, Vilfredo, The Pareto Distribution
particles, Censored Data
PDF, PDFs, Convolution, The Distribution Framework, Glossary, Implementing Bayesian Estimation, Least Squares Fit
Pearson coefficient of correlation, Standard Scores, Correlation, Spearman’s Rank Correlation
Pearson, Karl, Correlation
Pearson’s median skewness coefficient, Skewness
percentile, Percentiles, Summary Statistics Revisited, Glossary, The Normal Distribution
percentile rank, Percentiles, Conditional Distributions, Glossary, Standard Scores
plot, Plotting Histograms, Plotting PMFs, Plotting PMFs, Normal Probability Plot, Glossary, Correlation, Making Scatterplots in Pyplot, Making Scatterplots in Pyplot
bar, Plotting Histograms, Plotting PMFs
hexbin, Making Scatterplots in Pyplot
line, Plotting PMFs
normal probability, Normal Probability Plot, Glossary
scatter, Correlation, Making Scatterplots in Pyplot
plotting, Plotting Histograms, Plotting PMFs
PMF, Distributions, Representing PMFs, Plotting PMFs, Glossary, The Class Size Paradox, The Limits of PMFs, The Distribution Framework
Pmf object, Representing PMFs, Convolution, Implementing Bayesian Estimation
Pmf.py, Representing Histograms, Representing PMFs, Representing PMFs, The Distribution Framework
point estimate, Confidence Intervals
point estimation, Glossary
pooled data, Correlation and Causation
population, The National Survey of Family Growth, Glossary, The Lognormal Distribution
populations.py, The Lognormal Distribution
populations_cdf.py, The Lognormal Distribution
posterior, Bayes’s Theorem, Glossary, Implementing Bayesian Estimation
posterior distribution, The Locomotive Problem
posterior probability, Interpreting the Result
power, Power, Glossary
prediction, The Estimation Game, Correlation
preferential attachment, Why Model?
pregnancy length, Tables and Records, Plotting Histograms, Plotting PMFs, Outliers, Conditional Probability, The Normal Distribution, Skewness, Hypothesis Testing, Testing a Difference in Means, Choosing a Threshold, Interpreting the Result, Chi-Square Test, Efficient Resampling
Presley, Elvis, Bayes’s Theorem
Prime Minister, Probability
prior, Bayes’s Theorem, Glossary, Implementing Bayesian Estimation
prior distribution, The Locomotive Problem
prior probability, Interpreting the Result
probability, Statistical Thinking for Programmers, Distributions, Conditional Probability, Glossary, Probability, Rules of Probability, Rules of Probability, Another Rule of Probability
conditional, Conditional Probability, Rules of Probability
rules of, Rules of Probability, Another Rule of Probability
probability density function, PDFs, Glossary
probability mass function, Distributions
product, Central Limit Theorem
Proofiness, Censored Data
pumpkin, Means and Averages
pyplot, Plotting Histograms, The Exponential Distribution, Making Scatterplots in Pyplot

R

race time, Conditional Distributions
race, relay, Normal Probability Plot
random, Streaks and Hot Spots
random module, Random Numbers, The Exponential Distribution, The Pareto Distribution, The Pareto Distribution, Generating Random Numbers, Testing a Difference in Means
random number, Random Numbers, Generating Random Numbers
random variable, Random Variables, Convolution, Why Normal?, Glossary
random variate, Random Variables, Glossary
randomized controlled trial, Correlation and Causation, Glossary
rank, Conditional Distributions, Standard Scores, Glossary
percentile, Conditional Distributions
rankit, Normal Probability Plot, Glossary
rankit.py, Normal Probability Plot
raw data, Tables and Records, Glossary
recode, Tables and Records, Glossary
record, Glossary
record (database), Tables and Records
regression analysis, Correlation and Causation
relative mean difference, Skewness
relative risk, Relative Risk, Glossary, Chi-Square Test
relay race, The Class Size Paradox, Normal Probability Plot
relay.py, The Class Size Paradox, Normal Probability Plot
relay_cdf.py, Representing CDFs
relay_normal.py, Normal Probability Plot
relay_soln.py, The Class Size Paradox
replacement, Glossary
replacement, sampling, Random Numbers
representative, The National Survey of Family Growth, Glossary
resampling, Random Numbers, Glossary, Testing a Difference in Means, Testing a Difference in Means, Efficient Resampling
residual, Least Squares Fit, Goodness of Fit, Glossary
respondent, The National Survey of Family Growth, Glossary, The Lognormal Distribution
risk.py, Relative Risk
robust, Skewness, Glossary, Exponential Distributions, Standard Scores

S

sample, Glossary
sample mean, Efficient Resampling
sample size, Do First Babies Arrive Late?, Probability, Choosing a Threshold
sample variance, Variance, Guess the Variance
sampling, Random Numbers
scatter plot, Correlation, Making Scatterplots in Pyplot
score_example.py, Percentiles
Seife, Charles, Censored Data
selection algorithm, Percentiles
selection bias, Do First Babies Arrive Late?, The Class Size Paradox
shape, Plotting Histograms, Back to the Survey Data
sharpshooter fallacy, Streaks and Hot Spots
significance, Significance, Reporting Results
significance criterion, Choosing a Threshold
significant, Hypothesis Testing, Glossary
simulation, Monte Carlo, Streaks and Hot Spots, Streaks and Hot Spots, Streaks and Hot Spots, Glossary, Chi-Square Test
six-sigma event, The Normal Distribution
skewness, Skewness, Glossary
slope, Least Squares Fit
slump, Streaks and Hot Spots
smoothing, Why Model?
spatial pattern, Streaks and Hot Spots
Spearman coefficient of correlation, Standard Scores, Spearman’s Rank Correlation, Spearman’s Rank Correlation
sport, Streaks and Hot Spots
spread, Glossary, Summary Statistics Revisited
spurious relationship, Correlation and Causation
standard deviation, Variance, Glossary, Standard Scores
standard score, Correlation, Glossary
standard scores, Standard Scores
statistically significant, Significance, Glossary
statistics, Statistical Thinking for Programmers
stick, Monty Hall
Straight Dope, The, Reporting Results
streak, Streaks and Hot Spots
study, The National Survey of Family Growth, The National Survey of Family Growth, Glossary, Glossary
cross-sectional, The National Survey of Family Growth, Glossary
longitudinal, The National Survey of Family Growth, Glossary
subjective belief, Probability, Glossary, Reporting Bayesian Probabilities
success, Probability, Glossary
suite, Implementing Bayesian Estimation
sum, Convolution, Why Normal?, Central Limit Theorem
summary statistic, Significance, Glossary, Summary Statistics Revisited
summary statistics, Means and Averages
survey.py, The National Survey of Family Growth, Tables and Records, Tables and Records, Variance
survival analysis, Representing PMFs
swamp, Reporting Bayesian Probabilities
switch, Monty Hall
symmetric, Summary Statistics Revisited, Poincaré
symmetry, Skewness
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