Notes on Applied Statistics

P.B. Stark

Copyright (c) 2021--2023 by Philip B. Stark

This repository contains two sets of lecture notes, in addition to material for specific courses taught at the Department of Statistics at UC Berkeley. You can find a fully rendered version of these pages as an interactive textbook here.

The main sets of lecture notes are:

Name		Name	Last commit message	Last commit date
Latest commit History 105 Commits
.github/workflows		.github/workflows
240-spring-2023		240-spring-2023
Data		Data
Old		Old
RandPics		RandPics
UQPics		UQPics
.gitignore		.gitignore
E-values.ipynb		E-values.ipynb
README.md		README.md
SHANGRLA.ipynb		SHANGRLA.ipynb
SPRTNuisance.ipynb		SPRTNuisance.ipynb
_config.yml		_config.yml
_toc.yml		_toc.yml
audit.ipynb		audit.ipynb
bayes.ipynb		bayes.ipynb
betting-martingales.ipynb		betting-martingales.ipynb
biblio.md		biblio.md
binom.ipynb		binom.ipynb
book-requirements.txt		book-requirements.txt
bootstrap.ipynb		bootstrap.ipynb
canonical.ipynb		canonical.ipynb
causal-inference.ipynb		causal-inference.ipynb
confidence-sets.ipynb		confidence-sets.ipynb
conformal-prediction.ipynb		conformal-prediction.ipynb
copa.ipynb		copa.ipynb
courseDefs.tex		courseDefs.tex
density-estim.ipynb		density-estim.ipynb
duality.ipynb		duality.ipynb
dus.ipynb		dus.ipynb
election_audits.ipynb		election_audits.ipynb
em.ipynb		em.ipynb
fisher-exact.ipynb		fisher-exact.ipynb
gaffke.ipynb		gaffke.ipynb
goodness_of_fit.ipynb		goodness_of_fit.ipynb
hoeffding.ipynb		hoeffding.ipynb
index-all.ipynb		index-all.ipynb
index.ipynb		index.ipynb
inference.ipynb		inference.ipynb
kaplan-markov-taint.ipynb		kaplan-markov-taint.ipynb
kaplanWald.ipynb		kaplanWald.ipynb
karpEtal15.ipynb		karpEtal15.ipynb
khazanEtal.ipynb		khazanEtal.ipynb
kmart.ipynb		kmart.ipynb
least_squares.ipynb		least_squares.ipynb
linalg.ipynb		linalg.ipynb
logo.png		logo.png
markov.ipynb		markov.ipynb
martingales.ipynb		martingales.ipynb
math-foundations.ipynb		math-foundations.ipynb
math-inequalities.ipynb		math-inequalities.ipynb
models.ipynb		models.ipynb
moderna-efficacy.ipynb		moderna-efficacy.ipynb
nonparametricConfidence.ipynb		nonparametricConfidence.ipynb
normApprox.ipynb		normApprox.ipynb
nuisance.ipynb		nuisance.ipynb
pSPRTnoReplacement.ipynb		pSPRTnoReplacement.ipynb
pandemic.ipynb		pandemic.ipynb
pennySampling.ipynb		pennySampling.ipynb
permute-classical.ipynb		permute-classical.ipynb
permute-distance.ipynb		permute-distance.ipynb
permute-independence.ipynb		permute-independence.ipynb
permute-intro.ipynb		permute-intro.ipynb
permute-prng.ipynb		permute-prng.ipynb
permute-simulate-p.ipynb		permute-simulate-p.ipynb
prngs.ipynb		prngs.ipynb
prob.ipynb		prob.ipynb
probTheory.ipynb		probTheory.ipynb
probVectors.ipynb		probVectors.ipynb
rabbits.ipynb		rabbits.ipynb
requirements.txt		requirements.txt
rv.ipynb		rv.ipynb
setsCombinatorics.ipynb		setsCombinatorics.ipynb
shootout.ipynb		shootout.ipynb
sprt.ipynb		sprt.ipynb
statBias.csv		statBias.csv
strat-binary.ipynb		strat-binary.ipynb
strat-bounded.ipynb		strat-bounded.ipynb
tests-combo.ipynb		tests-combo.ipynb
tests-multiple.ipynb		tests-multiple.ipynb
tests.ipynb		tests.ipynb
uniqueSampleSummary.csv		uniqueSampleSummary.csv
vaccine-efficacy.ipynb		vaccine-efficacy.ipynb

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Notes on Applied Statistics

P.B. Stark

Copyright (c) 2021--2023 by Philip B. Stark

License: CC-BY-ND 4.0.

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Notes on Applied Statistics

P.B. Stark

Copyright (c) 2021--2023 by Philip B. Stark

License: CC-BY-ND 4.0.

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