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Index-
age_lm.py, 9.8
- agemodel.py, 9.8
- brfss.py, 4.5, 9.5
- brfss_corr.py, 9.5, 9.6, 9.7
- brfss_figs.py, 4.5
- brfss_scatter.py, 9.4, 9.5
- Cdf.py, 3.5, 3.5, 3.8
- chi.py, 7.7
- class_size.py, 3.1
- conditional.py, 2.11
- correlation.py, 9.2, 9.3, 9.5, 9.6, 9.7
- decay.py, 8.8
- descriptive.py, 2.7
- erf.py, 4.3
- estimate.py, 8.7, 8.8
- first.py, 1.4, 1.4, 2.2
- gini.py, 6.1
- hypothesis.py, 7.1, 7.2, 7.4
- hypothesis_analytic.py, 7.8
- irs.py, 4.5
- locomotive.py, 8.9, 8.9
- myplot.py, 2.5, 3.5
- Pmf.py, 2.4, 2.6, 2.6, 6.7
- populations.py, 4.5
- populations_cdf.py, 4.5
- pyplot, 2.5
- rankit.py, 4.4
- relay.py, 3.1, 4.4
- relay_cdf.py, 3.5
- relay_normal.py, 4.4
- relay_soln.py, 3.1
- risk.py, 2.10
- score_example.py, 3.3
- survey.py, 1.3, 1.4, 1.4, 2.2
- thinkstats.py, 2.2, 5.5
- Adams, Cecil, 2.12
- Adult Intelligence Scale, 4.3, 9.7
- Anscombe’s quartet, 9.5
- Australia, 4.1
- abstraction, 4.6
- adult weight, 4.5, 4.5, 9.5
- analysis, 4.6, 6.5, 7.7, 7.8
- anecdotal evidence, 1.1, 1.6
- apparent effect, 1.5, 1.6, 2.9, 7
- artifact, 1.5, 1.6
- average, 2.1, 6.1
- Bayes factor, 7.6
- Bayes’s theorem, 5.7
- Bayesian estimation, 6.7, 8.5, 8.9
- Bayesian probability, 7.4, 7.6
- Bayesianism, 5, 5.8, 8.6
- Behavioral Risk Factor Surveillance System, 4.5, 4.5, 5.3, 9.4, 9.5, 9.6, 9.7
- Blue Man Group, 6.3
- BRFSS, 4.5, 4.5, 5.3, 9.4, 9.5, 9.6, 9.7
- Brisbane, 4.1
- bar plot, 2.5, 2.7
- baseball, 5.6
- basketball, 5.6
- belief, 5, 5.8, 7.6
- bias
- biased estimator, 8.2, 8.4, 8.10
- bin, 2.10, 2.13, 6.7
- binning, 3.2
- binomial coefficient, 5.5
- binomial distribution, 5.5
- birth time, 4.1
- birth weight, 3.2, 3.6, 3.6, 3.8, 3.9, 4.3, 4.4, 6.1, 7.4, 9.8
- birthday, 4.1
- bisection algorithm, 3.5
- booyah, 6.4
- bread police, 5.3
- Cauchy-Schwarz inequality, 9.3
- CCDF, 4.1, 4.1, 4.2, 4.2, 4.5
- CDF, 3.2, 3.4, 3.10, 4.2, 4.3, 4.5, 4.7, 6.2, 6.3, 6.7
- Cdf object, 3.5
- Central Limit Theorem, 6.6, 6.8
- Chi-square test, 7.7
- Coleman, Norm, 8.8
- cancer cluster, 5.6
- casino, 7.7
- causation, 9.8
- cell, 7.7, 7.10
- censored data, 8.8, 8.10
- central tendency, 2.1, 2.13, 3.9
- ch-square test, 7.10
- chance, 7, 7.3
- chapeau, 1.4
- chi-square distribution, 8.5
- chi-square statistic, 7.7
- chi-square test, 7.7
- city size, 4.5
- class size, 3.1
- clinically significant, 2.12, 2.13
- cluster, 5.6
- clustering illusion, 5.6
- coefficient
-
binomial, 5.5
- correlation, 9.1, 9.3, 9.3, 9.3, 9.5, 9.5, 9.6
- determination, 9.7, 9.9
- Gini, 6.1
- skewness, 6.1
- variation, 5.3, 5.8
- cohort, 1.6, 2.11, 3.7, 5.6, 7.5
- coin, 5.4, 5.5, 7.3
- colormap, 9.4
- comic, 9.8
- complementary CDF, 4.1, 4.1, 4.2, 4.2, 4.5
- compression, 4.6
- computation, 1, 9.6
- conditional distribution, 3.7, 3.10
- conditional probability, 2.11, 2.13, 5.1, 5.7
- confidence interval, 8.5, 8.10
- confirmation bias, 1.1
- confused Monty problem, 5.2
- conjunction fallacy, 5.1
- continuous, 6.7
- continuous distribution, 4, 4.8
- contradiction, proof by, 7
- contributors, 0
- control group, 9.8, 9.9
- controlled trial, 9.8
- convergence, 6.6, 7.6
- convolution, 6.4, 6.5, 6.8
- cookie, 5.7
- corpus, 4.2, 4.8
- correlation, 9.1, 9.3, 9.8, 9.9
- correlation coefficient, 9.3
- cost function, 9.6
- covariance, 9.2, 9.3, 9.9
- credible interval, 8.6, 8.9, 8.10
- crooked die, 7.7
- cross-sectional study, 1.3, 1.6
- cross-validation, 7.5, 7.10
- cumulative distribution function, 3.2, 3.4, 6.2
- cycle, 1.3, 7.5
- DiMaggio, Joe, 5.6
- dance, 5.3
- data collection, 1.2
- database, 1.4
- decay, 8.8
- density, 6.3
- dependent variable, 9.7, 9.9
- derivative, 6.3
- descriptive statistics, 1.2, 2.1
- deviation, 2.2, 6.1, 9.1, 9.2
- diachronic, 5.7
- dice, 5, 5.1, 5.1, 5.4, 7.7
- dictionary, 2.3
- discrete, 6.7
- distribution, 2.3, 2.13
-
binomial, 5.5
- chi-square, 8.5
- conditional, 3.7
- continuous, 4, 4.8
- Erlang, 6.2, 6.4
- empirical, 4, 4.1, 4.8
- exponential, 4.1, 4.1, 4.2, 4.2, 4.4, 4.7, 6.2, 6.3, 6.3, 6.4, 6.4, 6.5, 6.6, 6.6, 6.7, 8.4, 8.5, 8.6, 8.7, 8.8
- Gaussian, 4.3, 4.4, 4.4, 4.5, 5.3, 6.3, 6.5, 6.6, 6.6, 6.7, 7.8, 8.1, 8.1, 8.1, 8.2, 8.2, 9.1, 9.5
- Gumbel, 6.2, 6.4
- lognormal, 4.5, 4.5, 5.3, 6.5, 6.6, 6.6, 9.5, 9.5
- normal, 4.3, 4.4, 4.4, 4.5, 5.3, 6.3, 6.3, 6.5, 6.6, 6.6, 6.7, 7.8, 8.1, 8.1, 8.1, 8.2, 8.2, 9.1, 9.5
- Pareto, 4.2, 4.2, 4.2, 4.4, 4.5, 4.6, 6.5, 6.6, 6.6
- uniform, 3.8, 4.7, 8.6, 8.7, 8.8, 8.9, 8.9, 9.1, 9.4
- Weibull, 4.2, 4.4, 4.7, 9.6
- distribution framework, 6.7
- distributions
- drug testing, 5.7
- Erlang distribution, 6.2, 6.4
- election, 5
- empirical distribution, 4, 4.1, 4.8
- error, 8.1, 8.3
- error function, 4.3, 4.8
- error, Type I, 7.2
- error, Type II, 7.2
- estimation, 1.2, 8, 8.10, 8.10
- estimator, 8.1
- event, 5, 5.8
- evidence, 5.7, 5.8
- explanatory variable, 9.7
- exploratory data analysis, 1.2, 2.9
- exponential distribution, 4.1, 4.1, 4.2, 4.2, 4.4, 4.7, 6.2, 6.3, 6.3, 6.4, 6.4, 6.5, 6.6, 6.6, 6.7, 8.4, 8.5, 8.6, 8.7, 8.8
- Florida, girl named, 5.1
- Franken, Al, 8.8
- French, 1.4
- failure, 5, 5.8
- fallacy
-
conjunction, 5.1
- illusory superiority, 6.1, 6.8
- sharpshooter, 5.6
- false negative, 7.2, 7.10
- false positive, 5.7, 7.2, 7.10
- field, 1.6
- field (database), 1.4
- first babies, 1
- fit, goodness, 9.7
- framework, distributions, 6.7
- frequency, 2.3, 2.13, 4.2, 5
- frequentism, 5, 5.8, 8.6
- Galton, Francis, 6.8
- Gaussian distribution, 4.3, 4.4, 4.4, 4.5, 5.3, 6.3, 6.5, 6.6, 6.6, 6.7, 7.8, 8.1, 8.1, 8.1, 8.2, 8.2, 9.1, 9.5
- Gawande, Atul, 5.6
- German tank problem, 8.9
- Gini coefficient, 6.1
- Group, Blue Man, 6.3
- Gumbel distribution, 6.2, 6.4
- generative process, 4.6
- girl named Florida, 5.1
- goodness of fit, 9.7
- grayscale, 9.4
- Hist object, 2.4
- hapaxlegomenon, 4.2, 4.8
- height, 4.2, 5.3, 6.3, 9.4
- hexbin plot, 9.4
- histogram, 2.3, 2.4, 2.13
- hitting streak, 5.6
- hot hand, 5.6
- hot spot, 5.6
- howzzat, 9.7
- hypothesis, 5.7, 7.7
- hypothesis testing, 1.2, 7, 7.10
- Internal Revenue Service, 4.5, 6.1
- IQ, 4.3, 9.7
- IRS, 4.5, 6.1
- identical, 6.6
- identical trials, 5
- illusory superiority, 6.1, 6.8
- income, 4.5, 6.1
- independent, 5.1, 5.8, 6.4, 6.6
- independent variable, 9.7, 9.9
- inertia, 6.3
- init method, 1.4, 6.2
- intelligence, 4.3, 9.7
- interarrival time, 4.1, 4.8
- intercept, 9.6
- interquartile range, 3.9, 3.10
- interval
- intuition, 5.2
- inverse CDF algorithm, 3.8, 4.7
| - JAMA, 5.7
- James Joyce Ramble, 3.7
- Journal of the American Medical Association, 5.7
- jitter, 9.4
- Lake Wobegon effect, 6.1
- Langan, Christopher, 4.3
- least squares fit, 9.6, 9.9
- length
-
pregnancy, 1.4, 2.5, 2.7, 2.8, 2.11, 4.3, 6.1, 7, 7.1, 7.2, 7.4, 7.7, 7.8
- likelihood, 5.7, 5.8, 7.6, 8.7
- likelihood ratio, 7.6, 7.10
- line plot, 2.7
- linear least squares, 9.6
- linear regression, 9.6
- linear relationship, 9.3
- linear transformation, 6.5
- locomotive problem, 8.9
- logarithm, 6.6
- logarithmic scale, 4.1, 4.2
- lognormal distribution, 4.5, 4.5, 5.3, 6.5, 6.6, 6.6, 9.5, 9.5
- longitudinal study, 1.3, 1.6
- MacKay, David, 5.7, 7.6, 8.8
- Martin, Steve, 1.4
- Minnesota Senate Race, 8.8
- MLE, 8.1, 8.4, 8.9, 8.10, 9.6
- Mlodinow, Leonard, 5.1
- Monte Carlo, 5.6, 5.6, 5.6, 5.8, 7.7
- Monty Hall
- Monty Hall problem, 5.2
- Mosteller, Frederick, 8.9
- MSE, 8.1, 8.1, 8.9, 8.10
- Munroe, Randall, 9.8
- map, 2.3
- margin of error, 8.8
- margin of victory, 8.8
- mass, 6.3
- matplotlib, 2.5
- max, 6.4
- maximum likelihood estimator, 8.1, 8.4, 8.9, 8.10, 9.6
- mean, 2.1, 2.6, 4.1, 6.6, 7.7, 8.1, 8.1, 8.4, 9.1
- mean squared error, 8.1, 8.9, 8.10
- mean, difference in, 7.1, 7.8
- median, 3.9, 4.1, 4.2, 8.1, 8.1, 8.4
- medicine, 9.8
- method
- mode, 2.4, 2.5, 2.13
- model, 4.3, 4.4, 4.4, 4.5, 4.6, 4.8
- moment of inertia, 6.3
- mutually exclusive, 5.4
- National Survey of Family Growth, 1.3, 1.3, 2.7, 2.9, 3.2, 3.6, 3.8, 4.3, 7, 7.1, 7.1, 7.2, 7.3, 7.4, 7.4, 7.5, 7.7, 9.8
- NSFG, 1.3, 1.3, 2.7, 2.9, 3.2, 3.6, 3.8, 4.3, 7, 7.1, 7.1, 7.2, 7.3, 7.4, 7.4, 7.5, 7.7, 9.8
- natural experiment, 9.8, 9.9
- noise, 9.4
- normal distribution, 4.3, 4.4, 4.4, 4.5, 5.3, 6.3, 6.3, 6.5, 6.6, 6.6, 6.7, 7.8, 8.1, 8.1, 8.1, 8.2, 8.2, 9.1, 9.5
- normal probability plot, 4.4, 4.8
- normal score, 9.3
- normalization, 2.3, 2.13
- normalize, 9.1, 9.9
- normalizing constant, 5.7, 5.8
- null hypothesis, 7, 7.1, 7.6, 7.10
- oeuf, 1.4
- one-sided test, 7.3, 7.10
- operations on distributions, 6
- outlier, 2.5, 2.8, 2.13, 6.1, 8.1, 8.4, 9.4, 9.5
- oversampling, 1.3, 1.6, 3.1, 3.1
- Pareto distribution, 4.2, 4.2, 4.2, 4.4, 4.5, 4.6, 6.5, 6.6, 6.6
- Pareto World, 4.2
- Pareto, Vilfredo, 4.2
- PDF, 6.3, 6.4, 6.7, 6.8, 8.7, 9.6
- Pearson coefficient of correlation, 9.1, 9.3, 9.5
- Pearson’s median skewness coefficient, 6.1
- Pearson, Karl, 9.3
- PMF, 2.3, 2.6, 2.7, 2.13, 3.1, 3.2, 6.7
- Pmf object, 2.6, 6.4, 8.7
- Presley, Elvis, 5.7
- Prime Minister, 5
- Proofiness, 8.8
- p-value, 7, 7.1, 7.8, 7.10
- parameter, 4.1, 4.2, 4.2, 4.3, 4.5, 4.6, 4.7, 8.1, 8.4, 8.6
- particles, 8.8
- percentile, 3.3, 3.9, 3.10, 4.3
- percentile rank, 3.3, 3.7, 3.10, 9.1
- plot
- plotting, 2.5, 2.7
- point estimate, 8.5
- point estimation, 8.10
- pooled data, 9.8
- population, 1.3, 1.6, 4.5
- posterior, 5.7, 5.8, 8.7
- posterior distribution, 8.9
- posterior probability, 7.4
- power, 7.9, 7.10
- prediction, 8.1, 9.3
- preferential attachment, 4.6
- pregnancy length, 1.4, 2.5, 2.7, 2.8, 2.11, 4.3, 6.1, 7, 7.1, 7.2, 7.4, 7.7, 7.8
- prior, 5.7, 5.8, 8.7
- prior distribution, 8.9
- prior probability, 7.4
- probability, 1, 2.3, 2.13, 5
- probability density function, 6.3, 6.8
- probability mass function, 2.3
- product, 6.6
- pumpkin, 2.1
- pyplot, 4.1, 9.4
- Q.E.D., 5.7
- quartile, 3.9
- race
- race time, 3.7
- random, 5.6
- random module, 3.8, 4.1, 4.2, 4.2, 4.7, 7.1
- random number, 3.8, 4.7
- random variable, 6.2, 6.4, 6.5, 6.8
- random variate, 6.2, 6.8
- randomized controlled trial, 9.8, 9.9
- rank, 9.1, 9.9
- rankit, 4.4, 4.8
- raw data, 1.4, 1.6
- recode, 1.4, 1.6
- record, 1.6
- record (database), 1.4
- regression analysis, 9.8
- relative mean difference, 6.1
- relative risk, 2.10, 2.13, 7.7
- relay race, 3.1, 4.4
- replacement, 3.10
- replacement, sampling, 3.8
- representative, 1.3, 1.6
- resampling, 3.8, 3.10, 7.1, 7.1, 7.8
- residual, 9.6, 9.7, 9.9
- respondent, 1.3, 1.6, 4.5
- robust, 6.1, 6.8, 8.4, 9.1
- Seife, Charles, 8.8
- Spearman coefficient of correlation, 9.1, 9.5, 9.5
- Straight Dope, The, 2.12
- sample, 1.6
- sample mean, 7.8
- sample size, 1.1, 5, 7.2
- sample variance, 2.2, 8.2
- sampling, 3.8
- scatter plot, 9.3, 9.4
- selection algorithm, 3.3
- selection bias, 1.1, 3.1
- shape, 2.5, 3.6
- sharpshooter fallacy, 5.6
- significance, 1.5, 2.12
- significance criterion, 7.2
- significant, 7, 7.10
- simulation
- six-sigma event, 4.3
- skewness, 6.1, 6.8
- slope, 9.6
- slump, 5.6
- smoothing, 4.6
- spatial pattern, 5.6
- sport, 5.6
- spread, 2.13, 3.9
- spurious relationship, 9.8
- standard deviation, 2.2, 2.13, 9.1
- standard score, 9.9
- standard scores, 9.1
- statistically significant, 1.5, 1.6
- statistics, 1
- stick, 5.2
- streak, 5.6
- study
- subjective belief, 5, 5.8, 7.6
- success, 5, 5.8
- suite, 8.7
- sum, 6.4, 6.5, 6.6
- summary statistic, 1.5, 1.6, 3.9
- summary statistics, 2.1
- survival analysis, 2.6
- swamp, 7.6
- switch, 5.2
- symmetric, 3.9, 5.3
- symmetry, 6.1
- Thailand, 5
- Thaksin Shinawatra, 5
- table, 1.6
- table (database), 1.4
- tail, 9.6
- taxes, 4.5, 6.1
- test
- test set, 7.5
- test statistic, 7.7, 7.10
- testing set, 7.10
- threshold, 7.2
- training set, 7.5, 7.10
- treatment group, 9.8, 9.9
- trial, 5, 5.8
- trim, 2.13
- trimmed mean, 2.8
- truncated mean, 2.8
- turbine, 9.6
- twin, 5.7
- two-sided test, 7.3, 7.10
- U.S. Census Bureau, 4.5
- unbiased estimator, 8.2, 8.9
- uniform distribution, 3.8, 4.7, 8.6, 8.7, 8.8, 8.9, 8.9, 9.1, 9.4
- unique events, 5
- units, 9.1
- unreason, supreme law, 6.8
- unstable particles, 8.8
- update, 5.7, 5.8, 7.4, 8.7
- variability, 9.7
- variable
- variance, 2.2, 2.6, 2.13, 6.1, 6.6, 7.7, 8.2, 9.3
- variate
- visualization, 2.9
- WAIS, 4.3, 9.7
- Wechsler Adult Intelligence Scale, 4.3
- Weibull distribution, 4.2, 4.4, 4.7, 9.6
- weight, 9.4
-
adult, 4.5, 4.5, 9.5
- birth, 3.2, 3.6, 3.6, 3.8, 3.9, 4.3, 4.4, 6.1, 7.4, 9.8
- pumpkin, 2.1
- sample, 1.4
- wind power density, 9.6
- wind speed, 9.6
- word frequency, 4.2
- xkcd, 9.8
- Zipf’s law, 4.2
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