Skip to main content
Graph
Search
fr
en
Login
Search
All
Categories
Concepts
Courses
Lectures
MOOCs
People
Practice
Publications
Startups
Units
Show all results for
Home
Lecture
Understanding Statistics & Experimental Design
Graph Chatbot
Related lectures (28)
Previous
Page 3 of 3
Next
Statistical Hypothesis Testing: Unilateral and Bilateral Pairs
Explores unilateral and bilateral pairs in statistical hypothesis testing, covering critical values, test statistics, and p-values.
Understanding Statistics & Experimental Design
Explores t-tests, confidence intervals, ANOVA, and hypothesis testing in statistics, emphasizing the importance of avoiding false discoveries and understanding the logic behind statistical tests.
Distribution Estimation
Covers the estimation of distributions using samples and probability models.
Probability & Stochastic Processes
Covers applied probability, stochastic processes, Markov chains, rejection sampling, and Bayesian inference methods.
Probability and Statistics: Basics and Applications
Covers fundamental concepts of probability and statistics, focusing on data analysis, graphical representation, and practical applications.
Hypothesis Testing and Confidence Intervals: An Overview
Covers hypothesis testing, confidence intervals, and their applications in statistics.
Understanding Statistics & Experimental Design
Covers basic probability theory, ANOVA, experimental design, and statistical reporting errors.
Statistics: Hypothesis Testing & Confidence Intervals
Covers hypothesis testing, confidence intervals, data distributions, and statistical significance in data analysis.
