Example of random sampling error Random sampling error is the fact that - each time you draw a sample from a population, the values of those statistics (Mean, SD, etc...) will be different to some degree Suppose we want to determine the average points per game of an NBA player from 2008-2009 If I sample approximately 30 players 8 times, and calculate their average points per game I'll end up with 8 different numbers (sample statistics) The critical question is whether each sample is representative of the population? On slide 10 of the course slides for Week 5, there are 8 random samples of the population of NBA players. You will notice that the means and standard deviations, descriptive statistics, are different in each sample. This is random sampling error! In your own words, please answer the following questions: 1. Why are there differences in the mean and standard deviations for each sample? 2. Why are these differences referred to as sampling errors