"The sample groups in a student t-test are both drawn randomly from the same population. An intervention is performed on one group and the other is a control. The researcher then looks for a difference between the groups (a difference in their mean values). The problem with this (and the reason for the test) is that he or she doesn't know what the population mean or standard deviation is."
"There's only one wrinkle, before you can determine if your result is statistically significant, you need to determine how many degrees of freedom you are using (which is n1 + n2 - 2)."
"So the t-score becomes:"
"There's only one wrinkle, before you can determine if your result is statistically significant, you need to determine how many degrees of freedom you are using (which is n1 + n2 - 2)."
"|(mean of group 1 - mean of group 2)|"
"SEd = √(s12/n1 + s22/n2)"
"t = |(mean of group 1 - mean of group 2)| / √(s12/n1 + s22/n2)"
"SEd = √(s12/n1 + s22/n2)"
"if testing more than two groups consider a one-way ANOVA"
Expected headings
"|(mean of group 1 - mean of group 2)|"
"SEd = √(s12/n1 + s22/n2)"
"t = |(mean of group 1 - mean of group 2)| / √(s12/n1 + s22/n2)"
"Other statistical options"
"must not be "matched data" (e.g. before and after results for the same group)"
"must be continuous data (e.g. interval or ratio data)"
"There are many computer programs that will automate the above steps for you and provide you with a t-score for your data."