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
Exploratory Statistics: Data Analysis Fundamentals
Graph Chatbot
Related lectures (26)
Previous
Page 1 of 3
Next
Statistical Measures: Mean, Median, and Dispersion Techniques
Discusses statistical measures of central tendency and dispersion, focusing on mean, median, and their implications in data analysis.
Exploratory Statistics: Understanding Populations and Samples
Covers exploratory statistics, focusing on populations, samples, and various statistical measures.
Sampling: Inference and Statistics
Explores sampling in inferential statistics, emphasizing the impact of sample size and randomness on inference accuracy.
Sampling: Inference and Statistics
Explores sampling, inferential statistics, and effective experimentation in statistics.
Normal Distribution: Characteristics and Examples
Covers the characteristics and importance of the normal distribution, including examples and treatment scenarios.
Pizza Making Process
Covers the process of making pizza, sampling, averages, dispersion, residuals, and normal distribution.
Review Session: Module 1
Introduces inferential statistics, covering sampling, central tendency, dispersion, histograms, z-scores, and the normal distribution.
Hypothesis Testing and Confidence Intervals: An Overview
Covers hypothesis testing, confidence intervals, and their applications in statistics.
Normal Distribution: Characteristics and Z-scores
Explores normal distribution characteristics, Z-scores, probability in inferential statistics, sample effects, and binomial distribution approximation.
Probability Distributions in Environmental Studies
Explores probability distributions for random variables in air pollution and climate change studies, covering descriptive and inferential statistics.