Intro to Statistics: for Psychology and Business students

355 students enrolled

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Understand how statistics are applied! Psychology and Business students welcome!

355 students enrolled

Created by
Mr Ermin Dedic

Last updated 11/2016

English

What Will I Learn?

- Be able to distinguish between key statistical concepts and procedures
- You will be able to decipher the specific role of descriptive and inferential statistics
- You will be able to choose appropriate hypothesis test based on given information
- You will be able to calculate test statistics correctly and confidently
- You will be able to break down each formula and explain its individual components

Requirements

- No textbook is necessary. Examples will be used.
- No prior experience with statistics is necessary. This is a beginner course.

Description

**Welcome to Intro to Statistics: for Psychology and Business students! Business, data analysis, and psychology students all welcome!**

**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
- chi-square

**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.

**Enroll today!**

Who is the target audience?

- This course is a good fit for those who feel anxious about anything math related and think of themselves as non-math people.
- This course is a good fit for those who like a direct style of teaching
- This course is ideal for those that like a quicker teaching style.

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