Lectures
Guided routes through the lab for a teaching session. Each step opens a page with its set-up already in place and shows the lecturer's notes in a bar at the bottom of the screen. Every step is an ordinary link, so a class can be sent straight to step three, and you can follow a lecture on your own too.
Probability foundations
10 steps, about 90 minutes
From events to the binomial: the rules of probability on the clinic's patients, Bayes' rule with 10,000 people, random variables and the off-by-one trap. Chapters 1 to 5.
- Experiments, events and probability 10 min
- Watch a relative frequency settle 8 min
- The addition rule, term by term 10 min
- Conditional probability 10 min
- Independent or mutually exclusive? 7 min
- Bayes' rule with 10,000 people 12 min
- Random variables and the retailer's questions 10 min
- Ask a die every question 8 min
- The binomial and the off-by-one trap 8 min
- Drill: words to probabilities 7 min
From distributions to confidence intervals
10 steps, about 90 minutes
From the normal to the confidence interval: densities and fat tails on real data, z-scores, the central limit theorem watched as it happens, Student's t, and what 95 % means. Chapters 7 to 11.
- The normal: μ moves it, σ widens it 8 min
- Brambleford: does the model fit? 8 min
- The simulated share's fat tails 10 min
- z-scores: the delivery or the basket? 8 min
- Binomial to normal 8 min
- The standard error and the CLT 10 min
- Watch the CLT happen 12 min
- Student's t against the normal 8 min
- Build an interval for the coffee 8 min
- What 95 % means 10 min
Case-study workshop
4 steps, about 60 minutes
Four business questions worked in small groups, each ending with checked answers: a vaccine batch, a share's returns, a software team's sprint and a bulb supplier's claim.
- The Brambleford vaccine batch 15 min
- A simulated share's daily and yearly returns 15 min
- Bug-fix times 15 min
- Bulb reliability 15 min