T-Test: [Stat] > Tests > 2:T-Test. You may input your data into L1 first.
The first line, involving μ, is the alternative hypothesis.
t is the test statistic, the standardized difference between the sample mean and μ0. If the null hypothesis is true, it should be close to 0.
p is the probability that the difference between the sample mean and μ0 would occur if the null hypothesis is true. When the value is sufficiently small, we reject the null hypothesis and conclude that the alternative hypothesis is true. You should have a cutoff value ready, such as 5% or 1%. If p is lower, you "reject the null hypothesis on a 5% (or 1%) level" in technical terms.
x-bar is the sample mean.
Sx is the sample standard deviation.
n is the sample size (not included, but also important, is df, the degrees of freedom, defined as n-1)