Estimation of Population Parameters

The videos below cover the material on Estimation of Population Parameters from Chapter 9 of the book. See here for the full YouTube playlist. Click on the titles to download the slides.

Overview

Random sampling and bias

Standard error

Law of large numbers (LLN)

LLN can fail

Sums of independent variables

Central limit theorem

Financial crisis

Confidence intervals 1

Confidence intervals 2

Bootstrap

Bootstrap confidence intervals

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    • Probability
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    • Multiple Discrete Variables
    • Multiple Continuous Variables
    • Discrete and Continuous
    • Averaging
    • Correlation
    • Estimation of Population Parameters
    • Hypothesis Testing
    • PCA and Low-Rank Models
    • Regression and Classification
    • Causal Inference
  • Code
    • Probability
    • Discrete Variables
    • Continuous Variables
    • Multiple Discrete Variables
    • Multiple Continuous Variables
    • Discrete and Continuous
    • Averaging
    • Correlation
    • Estimation of Population Parameters
    • Hypothesis Testing
    • PCA and Low-Rank Models
    • Regression and Classification
  • Solutions

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