Hypothesis Testing: Using Equations for μ<μ0

[XodoX]

I have a question about the equations used for hypothesis testing. They all look like this one here:

H₀: μ = μ₀
H₁: μ > μ₀

For various situations.. sigma know, sigma unknown etc. So H₀ is the first claim and H₁ is the second claim. But this means the second claim is > than the first claim. I know you have to use something else when it's the other way around. I'm talking about the tables with the formulas. You usually have the hypothesis on the left side, and on the right side it's the critical region. But the tables I have only have H₁ down as μ>μ₀. But what do I do when it is < instead of > ? I attached a file that shows what I mean.
Wikipedia has a bunch of formulas. Let's take p. H₁: p₁>p₀
Would I take the One-proportion z-test they have here ( roughly in the center of the table) ?

http://en.wikipedia.org/wiki/Statistical_hypothesis_testing

I don't know what to do if it's H₁ down as μ<μ₀ I hope it's somewhat clear what I'm asking for and somebody knows the answer.

 

[Valkarie]

Yes, you would use the one-proportion z-test for a hypothesis such as H1: p1>p0. However, if your hypothesis is H1: μ<μ0, then you would use a different test, such as the one-sample t-test. The one-sample t-test is used when the population standard deviation is unknown or not given.