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
Pearson's chi-squared test
Formal sciences
Statistics
Statistical inference
Statistical hypothesis testing
Graph Chatbot
Related lectures (32)
Login to filter by course
Login to filter by course
Reset
Categorical Data Analysis: Methods and Examples
Explores the analysis of categorical and discrete data with examples.
Visualizing Categorical Data: Methods and Examples
Explores tools for visualizing categorical data to detect patterns and trends.
Estimating Maximum Streamflow with LP3 Distribution
Covers the frequency factor approach and the log-Pearson Type III distribution for estimating maximum streamflow.
Multilinear Regression: Least Square Fit
Covers multilinear regression using least square fit method and the importance of standardizing variables.
Goodness-of-fit Tests in Statistics
Explores goodness-of-fit tests, X² tests, and independence tests in statistics, with practical examples and applications.
Evaluation in NLP
Delves into NLP evaluation, covering gold standards, precision, recall, and statistical significance.
Markov Chains: Properties and Approximations
Explores Markov chains' properties, hitting time, and Stirling's formula approximation.
Statistical Inference
Covers likelihood ratio statistic, confidence intervals, and hypothesis testing concepts.
Bayesian Statistics: Hypothesis Testing and Estimation
Covers hypothesis testing, p-values, significance levels, and Bayesian estimation.
Statistical Models: Basics & Applications
Covers statistical concepts like probability, estimation, hypothesis testing, and confidence intervals for mathematicians.
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.
Continuous Random Variables: Distributions and Expectation
Explores various continuous probability distributions and expectation of random variables.
Previous
Page 2 of 2
Next