In this course, you will develop and test hypotheses about your data. You will learn a variety of statistical tests, as well as strategies to know how to apply the appropriate one to your specific data and question. Using your choice of two powerful statistical software packages (SAS or Python), you will explore ANOVA, Chi-Square, and Pearson correlation analysis. This course will guide you through basic statistical principles to give you the tools to answer questions you have developed. Throughout the course, you will share your progress with others to gain valuable feedback and provide insight to other learners about their work.
Python Lesson 1 - Defining moderation, a.k.a. statistical interaction
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Получаемые навыки
Chi-Squared (Chi-2) Distribution, Data Analysis, Statistical Hypothesis Testing, Analysis Of Variance (ANOVA)
Рецензии
AM
Dec 03, 2015
Very good for beginners. concept explanation as well as coding were great. doesn't take too long to finish. I enrolled regression modeling course by Wesleyan and waiting to start.
SS
Mar 18, 2016
Amazing course for intermediate , well designed course material very good information about the different types of hypothesis testing.
Из урока
Exploring Statistical Interactions
In this session, we will discuss the basic concept of statistical interaction (also known as moderation). In statistics, moderation occurs when the relationship between two variables depends on a third variable. The effect of a moderating variable is often characterized statistically as an interaction; that is, a third variable that affects the direction and/or strength of the relation between your explanatory (X) and response (Y) variable. Your task will be to test your own research question in the context of one or more potential moderating variables.
Преподаватели
Jen Rose
Research Professor
Lisa Dierker
Professor