student's t-test
in statistics, a method of testing hypotheses about the mean of a small sample drawn from a normally distributed population when the population standard deviation is unknown.
2-tailed test; null
"There is not a difference between means OR their difference is 0" = what hypothesis/test?
2-tailed test; alternative hypothesis
"There is a difference between means or their difference is not 0"= what hypothesis/test?
1-tailed test; null
"Mean1 is greater than or equal to Mean 2 OR their difference is greater than or equal to 0"= what hypothesis/test?
1-tailed test; alternative hypothesis
"Mean 1 is less than Mean 2 or their difference is less than 0"= what hypothesis/test?
Assumption of normal distribution
-variable on which the two groups are being compared is dispersed normally
assumption of variance
-the variances of the variable in the two populations are equal
assumption of independence
-the observations within each group and between each group are independent, meaning that knowing the value of any one observation tells us nothing about the value of another observation.
normal distribution, equal variance, independence
What are the 3 assumptions for t-tests?
student's t-test
Which test do we use for normally distributed, parametric data?
Paired t-test
Which test do we use for non-parametric data (dependent)?