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About The Professor
Course
Subject:
Mathematics
Topic:
Statistics
Views:
100,948
Educator
Name:
University of California, Berkeley (UC Berkeley)
Type:
University
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Instructor
Name
Deborah Nolan
Statistics 20, 003 - Introduction to Probability and Statistics
Video Lectures
Displaying all 35 video lectures.
Lecture 1
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Lecture 1: Collecting Data
Lecture 2
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Lecture 2: The R Project for Statistical Computing
Lecture 3
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Lecture 3: Distribution of Quantitative Variables
Lecture 4
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Lecture 4: Variables and Functions in R
Lecture 5
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Lecture 6: Body Mass Index, Numeric Summaries of Quantitative Data
Lecture 6
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Lecture 7: Graphics Composition Overview
Lecture 7
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Lecture 8: Scatter Plots
Lecture 8
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Lecture 8: Time
Lecture 9
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Lecture 9: Numerical Summaries of Data
Lecture 10
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Lecture 10: Fisher's "Lady Tasting Tea" Experiment
Lecture 11
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Lecture 11: Designs of Experiments
Lecture 12
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Lecture 12: Design of Experiments
Lecture 13
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Lecture 13: The Box Model
Lecture 14
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Lecture 14: Informal Analysis of an Experiment
Lecture 15
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Lecture 15: Deck of Cards
Lecture 16
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Lecture 16: Conditional Probability
Lecture 17
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Lecture 17: Pascal's & Fermat's Solutions
Lecture 18
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Lecture 18: R and Probability
Lecture 19
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Lecture 19: Hypothesis Testing
Lecture 20
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Lecture 20: Roulette Wheel
Lecture 21
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Lecture 21: 0-1 Boxes and Hypothesis Tests
Lecture 22
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Lecture 22: Two Probability Laws and Hypothesis Tests for Averages
Lecture 23
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Lecture 23: Central Limit Theorem
Lecture 24
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Lecture 24: Hypothesis Tests for Averages
Lecture 25
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Lecture 25: Survey Design
Lecture 26
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Lecture 26: Project Overview
Lecture 27
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Lecture 27: Sampling
Lecture 28
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Lecture 28: Featured Plots
Lecture 29
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Lecture 29: More on Sampling
Lecture 30
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Lecture 30: Correlation and Regression
Lecture 31
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Lecture 31: Fitting Lines to Data
Lecture 32
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Lecture 33: More on Regression
Lecture 33
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Lecture 34: Regression Concepts
Lecture 34
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Lecture 35: Emails
Lecture 35
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Lecture 36
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Subject: Mathematics
Courses
Statistics 20, 003 - Introduction to Probability and Statistics