# The Basics of Statistics V: A Quick Example

So the last post was pretty dense, and I haven’t used an example since the first post, so I thought I’d throw one out there that you can play with. In what follows, I pretend to use the equations, but I’m actually doing all this in Excel. If you’ve got Excel, here are some helpful…

# The Basics of Statistics IV: Confidence Intervals

So far we’ve been talking about different distributions and their parameters. If we’re looking at a population with known parameters, then we’re going to be dealing with either a normal distribution or a standardized normal distribution (Post I and II). If we’re dealing with samples, we’re going to use either the sampling distribution of means,…

# The Basics of Statistics III: Samples, Sampling Distributions, and t Distributions

Before we start in on new stuff, let’s recap what we’ve covered so far. We started with the Central Limit Theorem, which tells us that if a bunch of random variables go into determining the values of yet another variable, then the values of that variable will approximate a normal distribution. The normal distribution is…

# The Basics of Statistics II: Standardized Normal Distribution and Z-Scores

So in the last post, we talked about the normal distribution, and at the very end, discussed that if you knew the mean and standard deviation of a population for a particular variable, than you can compute the probabilities associated with a particular value of that variable within that population. The problem is, to do…

# The Basics of Statistics I: The Normal Distribution

So here’s the first post on statistics. If you know the basics, and I suspect most of you do, then you can just ignore these posts (unless you want to check to make sure I’m getting it right). If you don’t know the basics, then hopefully you will when I’m done. Even for those of…