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.
SAS Lesson 4 - Testing moderation in the context of correlation
Loading...
배우게 될 기술
Chi-Squared (Chi-2) Distribution, Data Analysis, Statistical Hypothesis Testing, Analysis Of Variance (ANOVA)
검토
2015년 12월 2일
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.
2020년 9월 19일
The best Data analysis course I have taken so far. Concepts are explained nicely. Interesting peer review assignments. Excellent learning experience.
수업에서
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.
강사:
Jen Rose
Research Professor
Lisa Dierker
Professor
Coursera 카탈로그 살펴보기
무료로 참여해 맞춤화된 추천, 업데이트 및 제안을 받아보세요.
Coursera Footer
© 2021 Coursera Inc. All rights reserved.
