# sampling relating to statistics

THIS IS A DISCUSSION POST ONLY!

150 to 250 Words

This video discusses sampling in the context of how estimates of population parameters are obtained. It refers to Video 1: What is an Average? where we obtained an â€œaverage of 1.89 feet per person.â€ It points out that applying this statistic depends on thinking through whom the population is meant to be, and that depends on the study question (i.e., â€œIf you want to understand your answer, you really have to work out carefully what your question is.â€).

As the sample statistic was derived from a bunch of kids heading to the playground, plus a one-legged man who we asked to show up, we conclude that the sample was a bad one. We explain that random sampling is generally a good way of obtaining a representative sample such that you can be confident that the sample statistic is a good estimate of the population parameter.

Respond to the following response below:

• Magazines often report surveys giving statistics such as â€œ63% of women expect the man to pay on the first date.â€ Are these random samples? These surveys are most definitely not random â€“ they are typically click-through from the magazine website â€“ and so can provide an opportunity to discuss the sort of biases that can result from lack of random sampling.

Video 3 Below:

https://mediaplayer.pearsoncmg.com/assets/MsQQxcXFvHB_VZh1oA5V861T4AL2Cenj