In this interactive workshop, we will look at a very simple dataset in SPSS and see how a t-test saves us from making a catastrophically bad decision. The main aim is a deeper understanding of what a t-test (or p-values in general) really tells you, but also to start to think about exploring data in SPSS, and have a go at running and interpreting a t-test.
In this interactive workshop, we will take a look at some real data from the General Social Survey, and build a set of steps for investigating that data. We will chiefly focus on different types of graphs and the p-values that can give those graphs credibility. It is highly highly recommended to attend "Why Do I Even Need a t-Test?" first, but this is designed to be a standalone workshop if you can't make it to that.
In this interactive! workshop you will get the opportunity to enter some data from the General Social Survey into SPSS. The data you will be entering has been selected to expose you to the full set of features in SPSS' "Variable View", so by the end you should have plenty of ideas of how to set up your own data in SPSS.
Sigma notation represents a sum over a set of numbers, and turns up in all sorts of statistics and data analysis on many different degree courses. It takes many students by surprise as it is often barely touched upon at school. However, with a little practice, it is really a very simple concept. In this workshop, we will work through examples of sigma notation to get you comfortable with using and reading the big sigma wherever it turns up on your course. This workshop will be particularly of interest to business students.
A hands on beginners introduction to the R environment. This is for you if you don't know where to start. We hope you'll leave this workshop with the confidence to explore R further.
We can provide workshops for on your specific needs be it SPSS, Excel or a specific statistical method. If you and a group of your fellow students are interested please contact us with your needs. We can run workshops at various times to suit both students and tutor.