eHow launches Android app: Get the best of eHow on the go.
Summary: Standard error is a common statistical measure that is used to express the amount of variance from a mean in an individual's data. Learn about the differences between standard error and standard deviation with help from a math tutor in this free video on statistics and standard error.
Brian Erickson has a bachelor's degree in biology from Lewis & Clark College, and graduated with honors. During his college career, Erickson earned several awards and scholarships,...read more
"Hi! I'm Brian with ericksontutoring.blogspot.com. Today, we're going to discuss what standard error is. So, standard error is a fairly common statistical measure that's used to express the amount of variance from a mean in your data. It's easily and often confused with standard deviation. So, I'm going to try to clarify those two. Standard deviation is just a measure of variance in your recorded sample. So, sayin', how far from the median or the average is each individual data point? So, that's standard deviation. Then you have standard error, standard error takes into account your sample size as well. So, it takes your standard deviation, it's a type of standard deviation but it's divided by the sample size. So, the population size that you sample, and what this does is as your sample size increases you become a little more confident in the variance and how far your standard deviation is changing. So, really standard error is taking into account the size of your sample and it's allowing you to extrapolate from that single sample to an entire population. So, they are different but it's hard to always distinguish between the two. So, this has been a brief discussion of what standard error actually is."
eHow Article: What Is Standard Error?