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Statistics 20, 003 – Introduction to Probability and Statistics

Video Lectures

Displaying all 35 video lectures.
Lecture 1
Lecture 1: Collecting Data
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Lecture 1: Collecting Data
Lecture 2
Lecture 2: The R Project for Statistical Computing
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Lecture 2: The R Project for Statistical Computing
Lecture 3
Lecture 3: Distribution of Quantitative Variables
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Lecture 3: Distribution of Quantitative Variables
Lecture 4
Lecture 4: Variables and Functions in R
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Lecture 4: Variables and Functions in R
Lecture 5
Lecture 6: Body Mass Index, Numeric Summaries of Quantitative Data
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Lecture 6: Body Mass Index, Numeric Summaries of Quantitative Data
Lecture 6
Lecture 7: Graphics Composition Overview
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Lecture 7: Graphics Composition Overview
Lecture 7
Lecture 8: Scatter Plots
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Lecture 8: Scatter Plots
Lecture 8
Lecture 8: Time
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Lecture 8: Time
Lecture 9
Lecture 9: Numerical Summaries of Data
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Lecture 9: Numerical Summaries of Data
Lecture 10
Lecture 10: Fisher's
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Lecture 10: Fisher’s “Lady Tasting Tea” Experiment
Lecture 11
Lecture 11: Designs of Experiments
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Lecture 11: Designs of Experiments
Lecture 12
Lecture 12: Design of Experiments
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Lecture 12: Design of Experiments
Lecture 13
Lecture 13: The Box Model
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Lecture 13: The Box Model
Lecture 14
Lecture 14: Informal Analysis of an Experiment
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Lecture 14: Informal Analysis of an Experiment
Lecture 15
Lecture 15: Deck of Cards
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Lecture 15: Deck of Cards
Lecture 16
Lecture 16: Conditional Probability
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Lecture 16: Conditional Probability
Lecture 17
Lecture 17: Pascal's & Fermat's Solutions
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Lecture 17: Pascal’s & Fermat’s Solutions
Lecture 18
Lecture 18: R and Probability
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Lecture 18: R and Probability
Lecture 19
Lecture 19: Hypothesis Testing
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Lecture 19: Hypothesis Testing
Lecture 20
Lecture 20: Roulette Wheel
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Lecture 20: Roulette Wheel
Lecture 21
Lecture 21: 0-1 Boxes and Hypothesis Tests
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Lecture 21: 0-1 Boxes and Hypothesis Tests
Lecture 22
Lecture 22: Two Probability Laws and Hypothesis Tests for Averages
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Lecture 22: Two Probability Laws and Hypothesis Tests for Averages
Lecture 23
Lecture 23: Central Limit Theorem
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Lecture 23: Central Limit Theorem
Lecture 24
Lecture 24: Hypothesis Tests for Averages
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Lecture 24: Hypothesis Tests for Averages
Lecture 25
Lecture 25: Survey Design
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Lecture 25: Survey Design
Lecture 26
Lecture 26: Project Overview
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Lecture 26: Project Overview
Lecture 27
Lecture 27: Sampling
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Lecture 27: Sampling
Lecture 28
Lecture 28: Featured Plots
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Lecture 28: Featured Plots
Lecture 29
Lecture 29: More on Sampling
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Lecture 29: More on Sampling
Lecture 30
Lecture 30: Correlation and Regression
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Lecture 30: Correlation and Regression
Lecture 31
Lecture 31: Fitting Lines to Data
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Lecture 31: Fitting Lines to Data
Lecture 32
Lecture 33: More on Regression
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Lecture 33: More on Regression
Lecture 33
Lecture 34: Regression Concepts
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Lecture 34: Regression Concepts
Lecture 34
Lecture 35: Emails
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Lecture 35: Emails
Lecture 35
Lecture 36
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Lecture 36
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