I am currently taking an introductory statistics course on Udacity and I'm having trouble understanding the concept of the t-statistic. My current understanding of the t-Statistic is as follows:
If the population standard deviation is unknown, we can't calculate the Z-score. So, instead, we calculate a very similar statistic (i.e the t-score) using the sample Standard deviation in place of the population standard deviation. Is Bessels correction used when the sample standard deviation is used to estimate the population standard deviation?
Also, I've seen two forms of the equation for calculating the t-statistic.
$$ t=\frac{\overline{x}- \mu _{0}}{S/ \sqrt{n} } $$
and
$$ t=\frac{\overline{x}- \mu _{0}}{S/ \sqrt{n-1} } $$ mu = population mean x = sample mean n = sample size S = sample Standard deviation Which on of these is correct?
What does i.i.d mean?
– mahela007 Jul 24 '13 at 04:37Am I correct in assuming that they haven't used Bessel's correction? If so, is it just a mistake or is there some reason for doing so?
– mahela007 Jul 26 '13 at 12:43