Tag: hypothesis testing

Multiple Hypothesis Testing


From MultiThreaded: “In recent years, there has been a lot of attention on hypothesis testing and so-called ‘p-hacking’, or misusing statistical methods to obtain more ‘significant’ results…. This post introduces some of the interesting phenomena that can occur when we are dealing with testing hypotheses. First, we consider an example of a single hypothesis test which gives great insight into the difference between significance and “being correct”. Next, we look … Continue Reading

Elements of Information Theory


From Amazon: “The Second Edition of this fundamental textbook maintains the book’s tradition of clear, thought-provoking instruction. Readers are provided once again with an instructive mix of mathematics, physics, statistics, and information theory. All the essential topics in information theory are covered in detail, including entropy, data compression, channel capacity, rate distortion, network information theory, and hypothesis testing. The authors provide reads with a solid understanding of the underlying theory … Continue Reading

Intro to Inferential Statistics


From Udacity: “Inferential statistics allows us to draw conclusions from data that might not be immediately obvious. This course focuses on enhancing your ability to develop hypotheses and use common tests such as t-tests, ANOVA tests, and regression to validate your claims.” The course consists of seven lessons: Estimation Hypothesis Testing t-tests ANOVA Correlation Regression Chi-squared Tests This course is a preliminary step towards the Udacity Data Analyst Nanodegree Program, designed to … Continue Reading

DataCamp – Statistical Thinking in Python (Part 2)


From DataCamp: “After completing Statistical Thinking in Python (Part 1), you have the probabilistic mindset and foundational hacker stats skills to dive into data sets and extract useful information from them. In this course, you will do just that, expanding and honing your hacker stats toolbox to perform the two key tasks in statistical inference: parameter estimation and hypothesis testing. You will work with real data sets as you learn, culminating … Continue Reading

Think Bayes

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Use your existing programming skills to learn and understand Bayesian statistics. Work with problems involving estimation, prediction, decision analysis, evidence, and hypothesis testing.

Statistics in a Nutshell


Statistics in a Nutshell is a clear and concise introduction and reference for anyone new to the subject.

Data Science from Scratch: First Principles with Python


In this book, you’ll learn how many of the most fundamental data science tools and algorithms work by implementing them from scratch.