Lecture recordings

Recordings

Here are the lecture recordings, with the most recent appearing at the top. If the latest lecture is yet to appear here, you’ll likely be able to find it via the MA26620 Blackboard page > Books & Tools > All Panopto Videos.

Lecture 06

Summary

  • \(t\) confidence intervals (example)

  • Hypothesis tests

  • The \(T\)-test

Lecture 05

Summary

  • Unknown variance

  • The \(t\) distribution

  • \(t\) confidence intervals

Lecture 04

Summary

  • Derivation of least squares estimators \(\hat\beta_0\) and \(\hat\beta_0\) (continued)

  • Normal distribution recap

  • Central Limit Theorem

  • Distribution of the sample mean (\(\bar X \sim N(\mu,\sigma^2/n)\))

Lecture 03

Summary

  • Paired data

  • The correlation coefficient, \(R\)

  • The meaning of \(100R^2\)

  • The linear regression model and its assumptions

  • Derivation of least squares estimators \(\hat\beta_0\) and \(\hat\beta_0\)

Lecture 02

Summary

  • Continuous data

  • Summary statistics

  • Measures of central tendency

  • Measures of spread

  • Boxplots (aka box and whisker plots)

Lecture 01

Summary

  • How the module works

  • Classification of data

  • Discrete vs Continuous

  • Quantitative vs Qualitative

  • Barcharts