HL summary: Critical Values
Hypothesis testing, along with Type I and II errors, is likely the hardest area of the statistics and probability unit. It requires students to be comfortable (if not fluent) with: …. and then adds into this the use of (a) concept of a hypothesis test and significance levels (b) a measure of the risk of falsely rejecting (type I) or falsely accepting (Type II) the null hypothesis. Moreover, with discrete, binomial...