|
Note 1
This session considers the use of random sampling for estimating characteristics of an entire population. Random sampling leads to random variation in estimates, and this variation can be described by a probability distribution. The normal curve approximation, which some statistics learners may be familiar with, is described only briefly. A stem and leaf plot of typical results of independent sample estimates is used for the investigations, which removes a level of abstraction from the description of sampling concepts. |
 |
|
|
