We’ve looked at data on Body Mass Index (BMI) by race. Now let’s take a look at our sample another way. Instead of using BMI as a variable, let’s use obesity as a dichotomous variable, defined as a BMI greater than 30. It just so happened (really) that this variable was already in the data…
So far, we have looked at How to get the sample demographics and descriptive statistics for your dependent and independent variable. Computing descriptive statistics by category Now it’s time to dive into step 3, computing inferential statistics. The code is quite simple. We need a LIBNAME statement. It will look something like this. The exact…
In the last post, I posed the following null hypothesis as an example: There is no difference in obesity among Caucasians, African-Americans and Latinos. You can see the results from the statistical analyses here. Since my question only pertains to those three groups, let’s begin by creating a data set with just those subjects. libname…
I get asked this question fairly often so I thought I would do a few posts on it. The most common problem is that a student who is new to statistics has no idea where to even start. These examples use SAS but you could use any package you like. My recommendation to students beginning…
For many students just learning statistics, the relationship of z-scores and probability is confusing. Let’s try this concrete example. Here is a chart of the distribution of height in a sample of over 2,800 women. Notice that the peak, the mode is around 62-63 inches. You can see the frequency table here, as well as a…
First off, the good news. You can find all of the papers from SAS Global Forum 2015 online. This is good news if you are anything like me (and you should be, because, let’s face it, I’m awesome) because even if you went to Dallas there were no doubt several papers you wanted to attend…
Great! You are using SAS Studio. It’s free. Even greater. You cleaned your data, created subscales. You have this perfect dataset and now, you want to save that dataset to your desktop and maybe do some more work with it, or just open up and admire it – who am I to judge? Follow these…