Mathematics: Applications and Interpretation · Topic 4: Statistics and probability

SL4.1 — Sampling and data

Mathematics: Applications and Interpretation · SL / HL · syllabus-mapped notes

1. AISL4.1.1

   Populations, samples and types of data

   Population vs sample, random samples, and discrete vs continuous data.

2. AISL4.1.2

   Reliability, bias, missing data and outliers

   Judging data sources, dealing with errors, and identifying outliers with the 1.5 x IQR rule.

3. AISL4.1.3

   Sampling techniques

   Simple random, convenience, systematic, quota and stratified sampling and their effectiveness.