> For the complete documentation index, see [llms.txt](https://guide.fariaedu.com/psychology-teacher-articles/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://guide.fariaedu.com/psychology-teacher-articles/internal-assessment-1/ia-statistics...where-do-i-start.md).

# IA Statistics…where do I start?

![](https://646422242-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F-MLJLpMyD0FeX59WY_20%2Fuploads%2Fbgj5qBUI4kJmiWnNTyOF%2Fshutterstock_1767214307.jpg?alt=media\&token=3732e20f-285f-4f06-b108-6ad2b2d1ea58)

So, your group has conducted your IA, and you have all your raw data either in an Excel sheet or Word document, or (hopefully not!) scribbled down on a piece of paper. You see from the Pamoja instructions that you have to analyse these using descriptive and inferential statistics. But which descriptive measures and which inferential test should you use?  Here’s an easy way to decide.

![](https://646422242-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F-MLJLpMyD0FeX59WY_20%2Fuploads%2FrAGU3bleah4UPKaPs5Yt%2FPicture1.jpg?alt=media\&token=c7104f6e-c723-4e6e-ae7c-756dab144c38)

Before you start your calculations, this *Psychology in the Classroom* lesson is very helpful <https://changingstatesofmind.libsyn.com/what-do-the-numbers-mean>

You do not have to do the calculations by hand unless you really want to. Use an online site to help you. [www.socscistatistics.com](http://www.socscistatistics.com) is the simplest. But be sure to run the data twice to double-check it. Here are screen shots from a student calculating one of the simplest data sets: **independent samples with two groups of 10, directional hypothesis**

**Raw data - number of questions answered correctly out of 20 (ratio data)**       &#x20;

![](https://646422242-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F-MLJLpMyD0FeX59WY_20%2Fuploads%2F0sMaKeRoMy8ig2YXxRKF%2FPicture2.jpg?alt=media\&token=1e7101ab-af26-4ad0-8e11-c542c22d523b)