SpringNuance / First-Course-In-Probability-And-Statistics Public

Notifications You must be signed in to change notification settings
Fork 0
Star 1

This course covers discrete and continuous distributions, expectation, sample mean, law of large numbers, variance, sample variances, normal approximation. stochastic dependence and correlation, description of data using statistics and histogramsm, parameter estimation of statistical models, confidence interval, testing of statistical hypotheses

1 star 0 forks Branches Tags Activity

Notifications

Name		Name	Last commit message	Last commit date
Latest commit History 2 Commits
Exam		Exam
Exercises		Exercises
Lectures		Lectures
README.md		README.md
Statistical Z table.pdf		Statistical Z table.pdf

Repository files navigation

SpringNuance-First-Course-in-Probability-and-Statistics

About

This course covers discrete and continuous distributions, expectation, sample mean, law of large numbers, variance, sample variances, normal approximation. stochastic dependence and correlation, description of data using statistics and histogramsm, parameter estimation of statistical models, confidence interval, testing of statistical hypotheses

statistics ml-ds-ai

Report repository

Releases

No releases published

Packages

No packages published