Part D

Part A

Part B

Part D

Hypothesis testing using the critical value approach

We extend logistic regression to multiple independent variables, and show how we can use the boostrap to estimate confidence intervals for coefficients, and to test hypotheses.

We'll extend the previous example to a one-way contingency table with multiple categories, in which the chi-squared "goodness-of-fit" statistic is used. We then extend it further to a…

We introduce the principle of hypothesis testing

We'll look at means from small samples, where the normal approximation of the sampling distribution of the mean breaks down.

Constructing a bootstrap confidence interval for the slope

This video discusses why it is useful to characterise a probability density function (pdf) in terms of salient features which measure the location, spread, asymmetry, and the tails of the density.…

Introduction to Analysing Repeated Measures Data Training session with Dr Helen Brown, Senior Statistician, at The Roslin Institute, March 2016. ************************************************ These…