Statistics II

What you'll learn

The key areas this subject covers, mapped to the official curriculum.

• Sampling distributions and the central limit theorem
• Point and interval estimation of parameters
• Hypothesis testing with z, t and chi-square
• Analysis of variance and experimental design
• Markov chains and stochastic processes

Course units

The structured path through this subject.

1. 1

   Sampling Distribution and Estimation

   How statistics vary from sample to sample, and how to estimate population parameters with points and intervals.

   5 topics · 5 lessons available

2. 2

   Testing of hypothesis

   The logic of statistical tests: null and alternative hypotheses, errors, and the z and t procedures.

   5 topics · 5 lessons available

3. 3

   Non parametric test

   Distribution-free methods for counts, ranks and small samples that do not assume normality.

   5 topics · 5 lessons available

4. 4

   Multiple correlation and regression

   Modelling one variable as a function of several others, with multiple and partial correlation.

   4 topics · 4 lessons available

5. 5

   Design of experiment

   Planning experiments to isolate treatment effects: ANOVA, blocking and Latin squares.

   5 topics · 5 lessons available

6. 6

   Stochastic Process

   Random processes evolving over time, Markov chains, and their limiting behaviour.

   5 topics · 5 lessons available