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
Statistical Hypothesis Testing: Top Quark Discovery
Graph Chatbot
Related lectures (30)
Previous
Page 3 of 3
Next
Z-Test: Hypothesis Testing
Introduces hypothesis testing, focusing on the Z-test and critical regions.
Likelihood Ratio Tests: Optimality and Applications
Explores the theory and applications of likelihood ratio tests in statistical hypothesis testing.
Hypothesis Testing and Confidence Intervals: Key Concepts
Provides an overview of hypothesis testing and confidence intervals in statistics, including practical examples and key concepts.
Estimation of Theoretical Frequencies
Covers the estimation of theoretical frequencies and independence testing between two characteristics, with examples for practical application.
Maximum Likelihood Estimation: Multivariate Statistics
Explores maximum likelihood estimation and multivariate hypothesis testing, including challenges and strategies for testing multiple hypotheses.
Understanding Statistics & Experimental Design
Provides an overview of basic probability theory, ANOVA, t-tests, central limit theorem, metrics, confidence intervals, and non-parametric tests.
Hypothesis Testing: T-Test and Chi-Square Test
Explains hypothesis testing using T-test and Chi-square test to compare means and assess independence of variables.
Understanding Statistics & Experimental Design
Explores unequal variances, replication, power, effect size, biases, and their impact on research outcomes.
Hypothesis Testing: Statistical Disproof and Probability Calculation
Explores hypothesis testing through statistical disproof and probability calculation, emphasizing the significance level and error handling in statistical statements.
Two-Sample T-Test
Explains the two-sample t-test for comparing means of independent samples, including hypothesis testing steps and test statistic calculation.
