We are super excited to start off our statistics series! We have several goals with this series. First, we want to provide an educational opportunity that is accessible to anyone, without additional cost. This is not always possible, but in the instance of statistics, it should be. Below you will find a transcript of the video in case you had trouble following along. In the future, you will also any relevant source code and links to any sources. Here is the video for your reference: https://youtu.be/XpEYazMlG80 Transcript:
Hello,
I am Jacob From Intrepid Protoworks! I am a Human Factors Engineering Consultant. Human-Factors is a science which deals with the use of information on physiological and psychological characteristics and applies it to the design of systems and devices so that they better work with the people they are intended for.
One of our most important and foundational tools in this is statistics. The following series will look at how to write your own statistical tools for use either in the field or for your own investigative endeavors. If you are a student, these topics will likely very much relate to what you are learning in most statistics courses. This will be from the perspective of the behavioral sciences and priorities and terms will be described in line with them.
We will NOT be using some sort of prepared statistics package. Rather we will be using Python 3.6. We will go over how to install that in a following video. This is not a python tutorial series, however, you can likely follow along just fine without much of a computer science background. With that said, a basic understanding of python will help. There are a lot of tutorial series out there which are great for the learning. I will reference those when needed.
Python is free and using it will allow you to learn the formulas at the same time as you learn how to apply them on the computer. In most statistics courses, most often learning the calculation is an abstract exercise which then is very different from how you use statistic in practice.
While we will touch on research methods out of necessity, it will not be our focus. That is an entire other set of tutorials.
We will use databases which are available on the internet like the IPUMS. So, in total, all of the tools to participate in this series will be free and openly accessible.
The statistical tools we will be looking will include descriptive statistics like the average median and mode. We will also look at inferential tools like the z-test, t-test, and ANOVA. Depending on how the series goes, we will continue to go over additional tools as needed. If there is anything you would like to see in this series, please be sure to let me know in the comments! Remember to like and subscribe so you can see all of our other awesome content!
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