# Random Sampling

**Topics:**Standard deviation, Sample size, Arithmetic mean

**Pages:**2 (460 words)

**Published:**May 14, 2013

COMMON MISTEAKS MISTAKES IN USING STATISTICS: Spotting and Avoiding Them 4/10/12

Moore and McCabe (2006), Introduction to the Practice of Statistics, Third edition, p 219 Sample Distribution and Sampling Error

Distributions of populations of scores have been discussed. However, a single score does not accurately represent the population. A sample, or subset, of the population is a better estimator of the population. Alternatively, a sample that has received some treatment can be compared to the original population. Just as there is a distribution of scores for a population, there is a distribution of samples (or sampling distribution) for a population. These distributions become perfectly normal when all scores, or all samples, are included. All possible scores/samples are rarely available or possible, but the population can be reasonably represented by proper sampling.******** If the samples are randomly chosen, they are likely to be more representative of the population than a single score is. In addition, the larger the random sample is, the better the representation will be. The sample will likely be different than the population, but the...

Please join StudyMode to read the full document