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
Red Influence: Attractiveness, Desirability, and Status
Graph Chatbot
Related lectures (31)
Previous
Page 1 of 4
Next
Understanding Statistics & Experimental Design
Explores unequal variances, replication, power, effect size, biases, and their impact on research outcomes.
Understanding Statistics & Experimental Design
Provides an overview of basic probability theory, ANOVA, t-tests, central limit theorem, metrics, confidence intervals, and non-parametric tests.
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.
Probability Distributions in Environmental Studies
Explores probability distributions for random variables in air pollution and climate change studies, covering descriptive and inferential statistics.
Understanding Statistics & Experimental Design
Covers basic probability theory, signal detection theory, statistics, and meta-statistics, explaining effect sizes, power, and hypothesis testing.
Understanding Statistics & Experimental Design
Covers basic probability theory, ANOVA, experimental design, and statistical reporting errors.
Statistical Analysis: Hypothesis Testing and Distribution Models
Covers statistical analysis techniques, hypothesis testing, and distribution models using R software.
Confidence Intervals and Hypothesis Testing
Explores confidence intervals, hypothesis testing, and decision-making using test statistics and p-values.
Statistics for Data Science: Introduction to Statistical Methods
Covers the fundamental concepts of statistics and their application in data science.
Hypothesis Testing: State of Nature
Explores hypothesis testing, emphasizing the state of nature and the importance of choosing the most powerful test.
