Salam Academy
  1. The sample mean and the Central Limit Theorem

    The mean of a random sample is itself a random variable. It is centred on μ\mu, its spread shrinks like σn\dfrac{\sigma}{\sqrt n}, and for large samples it is approximately normal whatever the population looks like.

    ≈ 35 min
  2. Confidence intervals

    A single estimate is almost certainly a little wrong. A confidence interval gives a range, xˉ±zσn\bar x\pm z\dfrac{\sigma}{\sqrt n}, built so that in, say, 95%95\% of samples the range would capture the true mean.

    ≈ 40 min