Statistics 20: Introduction to Probability and Statistics (Fall 2010, UC Berkeley). Taught by Professor Deborah Nolan, this course provides an introduction to probability and statistics.
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1
September 23, 2023
English
English [CC]
Description
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.
Course Curriculum
- Lecture 01 – Data, Let’s Collect some Unlimited
- Lecture 02 – Intro to the R Project, Functions in R Unlimited
- Lecture 03 – Distribution of Quantitative Variables Unlimited
- Lecture 04 – Variables and Functions in R Unlimited
- Lecture 06 – BMI (Body Mass Index), Numerical Summaries of Quantitative Data Unlimited
- Lecture 07 – Graphic Composition Overview Unlimited
- Lecture 08 – Scatter Plots, Studying the Relationship between Two Quantitative Variables Unlimited
- Lecture 09 – Numerical Summaries of Data Unlimited
- Lecture 10 – Fisher’s “Lady Tasting Tea” Experiment Unlimited
- Lecture 11 – Design of Experiments Unlimited
- Lecture 12 – Design of Experiments (cont.) Unlimited
- Lecture 13 – The Box Model Unlimited
- Lecture 14 – Informal Analysis of an Experiment Unlimited
- Lecture 15 – Probability; Deck of Cards Unlimited
- Lecture 16 – Conditional Probability Unlimited
- Lecture 17 – Pascal’ & Fermat’s Solutions Unlimited
- Lecture 18 – Probability Distributions, R & Probability Unlimited
- Lecture 19 – Probability: Hypothesis Testing Unlimited
- Lecture 20 – Hypothesis Testing; Roulette Wheel Unlimited
- Lecture 21 – Boxes and Hypothesis Tests Unlimited
- Lecture 22 – Two Probability Laws and Hypothesis Tests for Averages Unlimited
- Lecture 23 – Central Limit Theorem Unlimited
- Lecture 24 – Hypothesis Tests for Averages Unlimited
- Lecture 25 – Survey Design Unlimited
- Lecture 26 – Project Overview Unlimited
- Lecture 27 – Sampling Unlimited
- Lecture 28 – Featured Plots Unlimited
- Lecture 29 – More on Sampling Unlimited
- Lecture 30 – Correlation and Regression Unlimited
- Lecture 31 – Fitting Lines to Data Unlimited
- Lecture 33 – More on Regression Unlimited
- Lecture 34 – Regression Concepts Unlimited
- Lecture 35 – Relationships between Categorical Variables Unlimited
About the instructor
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