Lecture 8: Scatter Plots 
Lecture 8: Scatter Plots
by UC Berkeley / Deborah Nolan
Video Lecture 7 of 35
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Views: 2,090
Date Added: December 6, 2010

Lecture Description

This video lecture, part of the series Statistics 20, 003 - Introduction to Probability and Statistics by Prof. Deborah Nolan, does not currently have a detailed description and video lecture title. If you have watched this lecture and know what it is about, particularly what Mathematics topics are discussed, please help us by commenting on this video with your suggested description and title. Many thanks from,

- The CosmoLearning Team

Course Index

Course Description

Statistics 20, 003 - Fall 2010
For students with mathematical background who wish to acquire basic concepts. Relative frequencies, discrete probability, random variables, expectation. Testing hypotheses. Estimation. Illustrations from various fields. Basic modules of the course:
1. Graphics, Descriptive Statistics, Exploratory Data Analysis
2. Experiments, Hypothesis Testing, Randomization
3. Probability, Random Variables, Simulation
4. Survey Sampling, Bootstrap, Confidence Intervals
5. Observational Studies, Regression, Modeling


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