Trade Rumors. Young saw himself âas the best thing smokingâ in his first season as a Laker two years ago. That netted the former Reseda High and USC star a four-year, $21.5 million deal to stay in a favorite purple and gold uniform.
Outliers increase the standard deviation. Mean is most affected by outliers, since all values in a sample are given the same weight when calculating mean. A value that is far removed from the mean is going to likely skew your results and increase the standard deviation. Say you have five values: 2, 1, 2, 1.5, and 2.1. Your mean would be 1.72 and your standard deviation would be 0.47.
Standard deviation (SD). This describes the spread of values in the sample. The sample standard deviation, s, is a random quantity -- it varies from sample to sample -- but it stays the same on average when the sample size increases. Standard error of the mean (SE). This is the standard deviation of the sample mean, , and describes its accuracy as an estimate of the population mean, . When the sample size increases, the estimator is based on more information and becomes more accurate, so its standard error decreases.