Intro to Statistics: for Psychology and Business students
Enroll today and find out why this course has 3 X more engagement compared to the average Math and Science course!
My statistics course is ideal for those studying on their own, or if you are in a statistics class and struggling with your assigned textbook or lecture material. I know stats courses can be boring, so I try to make it as exciting as possible.
The examples have a psychology bend, but this course is absolutely relevant for business students, especially those in data analysis that have to get a better understanding of statistical tests and the fundamental concepts. So welcome to you whether you are in business or psychology.
I provide examples within the lessons, so this should cut down your study time. Furthermore, I make sure that students understand the links between the different lessons. This helps you understand the bigger picture, and it also tends to decrease study time as you aren’t stuck wondering “how does this all come together”?
Be able to distinguish between key statistical concepts and procedures
What’s the difference between a sample and a population? Why do we test effect size after we get a significant result? What is a significant result? What’s the difference between Type 1 and Type 2 errors? What role does probability play in bridging population and samples?
Choose the appropriate hypothesis test based on given information and make statistical inferences!
- T-test (independent and repeated measures)
- ANOVA (independent and repeated measures)
- correlation (using the Pearson correlation)
- linear regression
Calculate t-tests, ANOVA, correlation, linear regression… correctly and confidently
You will get clear instructions on how to calculate each of the tests. When you finish you will have the ability to calculate each test correctly and confidently.
Be able to break down each formula and explain its individual components
Understanding how to plug numbers and use formulas is important, but as important is to be able to understand what we are measuring. I’ll break down the individual components of formulas/equations.
Contents and Overview
The course offers 3.5 hours or so of content. The 3.5 hours is sort of deceptive as I’ve tried to pack each second with something relevant and something important. I’ve made the course in a way to not waste your time and almost everything that is said in the lectures/lessons has a purpose.