2 Matching Annotations
  1. Oct 2018
    1. Power of the test

      Can you give an example or illustration of "rejecting a null hypothesis when power is too small" and "with larger effect size or significance level, and with smaller test power, the required sample size decreases"?

    1. We are 95 per cent confident that average candy colourfulness decreases by 0.19 to 0.46 for each additional unit of sweetness in the population.

      I can't refer these figures to the spss output. which figures should we interpret to get these results?