IntroductionToStatistics

Notebooks for the introduction to statistics course can be downloaded and run locally or via binder by clicking the button below.

If you fancy having a go, there are some pen-and-paper problems to solve in StatisticsProblems_part1.pdf

Name		Name	Last commit message	Last commit date
Latest commit History 22 Commits
BayesianCredibleInterval.ipynb		BayesianCredibleInterval.ipynb
Bootstrapping.ipynb		Bootstrapping.ipynb
CommonProbabilityDistributions.ipynb		CommonProbabilityDistributions.ipynb
FrequentistIntervals.ipynb		FrequentistIntervals.ipynb
GaltonMachine.ipynb		GaltonMachine.ipynb
GaussianHypothesisTests.ipynb		GaussianHypothesisTests.ipynb
HiggsBosonMass.ipynb		HiggsBosonMass.ipynb
LikelihoodRatioTest.ipynb		LikelihoodRatioTest.ipynb
MarkovChainMCExample.ipynb		MarkovChainMCExample.ipynb
MethodOfMoments.ipynb		MethodOfMoments.ipynb
MontyHall.ipynb		MontyHall.ipynb
MontyHall.png		MontyHall.png
ProfilingVsMarginalisation.ipynb		ProfilingVsMarginalisation.ipynb
README.md		README.md
StatisticsProblems_part1.pdf		StatisticsProblems_part1.pdf
UStatisticPermutationTest.ipynb		UStatisticPermutationTest.ipynb
counting_model.py		counting_model.py
counting_model_functions.py		counting_model_functions.py
environment.yml		environment.yml
galton_image.png		galton_image.png
hubble_data.csv		hubble_data.csv

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