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
Interactive Session: Learning Strategies and Cognitive Reflection
Graph Chatbot
Related lectures (32)
Previous
Page 2 of 4
Next
Statistics: Hypothesis Testing & Confidence Intervals
Covers hypothesis testing, confidence intervals, data distributions, and statistical significance in data analysis.
GLM: Statistical Hypothesis Testing
Explores statistical hypothesis testing, error types, thresholding, and multiple comparisons in GLM.
Hypothesis Testing and Confidence Intervals: An Overview
Covers hypothesis testing, confidence intervals, and their applications in statistics.
Spatial Statistics: Significance
Explains the calculation of statistical significance in spatial statistics using permutation and randomization methods.
Hypothesis Testing in Statistics
Explores hypothesis testing, significance levels, errors, GWAS, optimal testing, and point estimation in statistics.
Hypothesis Testing: State of Nature
Explores hypothesis testing, emphasizing the state of nature and the importance of choosing the most powerful test.
Statistics & Experimental Design
Explores conditional probability, Framingham studies, effect size, t-test, and sampling error in statistics.
Hypothesis Testing: T-Test Methodology
Explores hypothesis testing methodology using t-tests and the randomization test.
Statistical Theory: Cramér-Rao Bound & Hypothesis Testing
Explores the Cramér-Rao bound, hypothesis testing, and optimality in statistical theory.
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.
