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
Concept
Alternative hypothesis
Formal sciences
Statistics
Statistical inference
Statistical hypothesis testing
Graph Chatbot
Related lectures (32)
Login to filter by course
Login to filter by course
Reset
Previous
Page 2 of 4
Next
Bayesian Inference: Optimal Decisions
Explores Bayesian inference for optimal decision-making in hypothesis testing scenarios.
Confidence Intervals and Hypothesis Testing
Explores confidence intervals, hypothesis testing, and decision-making using 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.
Experimental Design in Biostatistics
Introduces experimental design in biostatistics, covering research process, hypothesis testing, ANOVA modeling, and interpretation of results.
Statistical Theory: Cramér-Rao Bound & Hypothesis Testing
Explores the Cramér-Rao bound, hypothesis testing, and optimality in statistical theory.
Describing Data: Statistics and Hypothesis Testing
Covers descriptive statistics, hypothesis testing, and correlation analysis with various probability distributions and robust statistics.
Hypothesis Testing and Confidence Intervals: An Overview
Covers hypothesis testing, confidence intervals, and their applications in statistics.
Understanding Statistics & Experimental Design
Explores unequal variances, replication, power, effect size, biases, and their impact on research outcomes.
Hypothesis Testing: State of Nature
Explores hypothesis testing, emphasizing the state of nature and the importance of choosing the most powerful test.
Hypothesis Testing: Neyman-Pearson Framework
Covers hypothesis testing, types of errors, Neyman-Pearson framework, and one-sided Gaussian tests.
