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
Introduction to Comparison Statistics
Graph Chatbot
Related lectures (28)
Previous
Page 2 of 3
Next
Statistics: Hypothesis Testing & Confidence Intervals
Covers hypothesis testing, confidence intervals, data distributions, and statistical significance in data analysis.
Hypothesis Testing: Q-Q Plots and Non-Parametric Tests
Covers hypothesis testing, Q-Q plots, and non-parametric tests in statistics.
Sampling: Inference and Statistics
Explores sampling, inferential statistics, and effective experimentation in statistics.
Red Influence: Attractiveness, Desirability, and Status
Explores the effects of red on attractiveness, desirability, and status, emphasizing statistical analysis and the challenges of replication and publication bias.
Statistical Hypothesis Testing
Covers statistical hypothesis testing, confidence intervals, p-values, and significance levels in hypothesis testing.
Two-Sample T-Test
Explains the two-sample t-test for comparing means of independent samples, including hypothesis testing steps and test statistic calculation.
Hypothesis Testing: Statistics Overview
Provides an overview of hypothesis testing, p-values, Wald test, and non-parametric statistics.
Statistics Essentials: The t-test
Introduces the t-test for assessing categorical effects on quantitative outcomes, covering hypothesis testing, assumptions, and alternative tests.
Understanding Statistics & Experimental Design
Covers statistics, experimental design, errors, distributions, implications of sample size, and null results.
Maximum Likelihood Estimation: Multivariate Statistics
Explores maximum likelihood estimation and multivariate hypothesis testing, including challenges and strategies for testing multiple hypotheses.
