课程信息
4.5
321 个评分
72 个审阅
专项课程

第 2 门课程(共 5 门),位于

100% 在线

100% 在线

立即开始,按照自己的计划学习。
可灵活调整截止日期

可灵活调整截止日期

根据您的日程表重置截止日期。
完成时间(小时)

完成时间大约为13 小时

建议:4 hours/week...
可选语言

英语(English)

字幕:英语(English)...

您将获得的技能

Chi-Squared (Chi-2) DistributionData AnalysisStatistical Hypothesis TestingAnalysis Of Variance (ANOVA)
专项课程

第 2 门课程(共 5 门),位于

100% 在线

100% 在线

立即开始,按照自己的计划学习。
可灵活调整截止日期

可灵活调整截止日期

根据您的日程表重置截止日期。
完成时间(小时)

完成时间大约为13 小时

建议:4 hours/week...
可选语言

英语(English)

字幕:英语(English)...

教学大纲 - 您将从这门课程中学到什么

1
完成时间(小时)
完成时间为 5 小时

Hypothesis Testing and ANOVA

This session starts where the Data Management and Visualization course left off. Now that you have selected a data set and research question, managed your variables of interest and visualized their relationship graphically, we are ready to test those relationships statistically. The first group of videos describe the process of hypothesis testing which you will use throughout this course to test relationships between different kinds of variables (quantitative and categorical). Next, we show you how to test hypotheses in the context of Analysis of Variance (when you have one quantitative variable and one categorical variable). Your task will be to write a program that manages any additional variables you may need and runs and interprets an Analysis of Variance test. Note that if your research question does not include one quantitative variable, you can use one from your data set just to get some practice with the tool. If your research question does not include a categorical variable, you can categorize one that is quantitative....
Reading
14 个视频(共 79 分钟), 11 个阅读材料, 1 个测验
Video14 个视频
Lesson 2 - From sample to population5分钟
Lesson 3 - Steps in hypothesis testing7分钟
Lesson 4 - What is a p value?5分钟
Lesson 5 - How to choose a statistical test1分钟
Lesson 6 - Ideas behind ANOVA9分钟
SAS Lesson 7 - ANOVA: Explanatory variable with 2 levels6分钟
SAS Lesson 8 - ANOVA: Explanatory variables with more than 2 levels2分钟
SAS Lesson 9 - Post hoc tests for ANOVA5分钟
SAS Lesson 10 - ANOVA summary2分钟
Python Lesson 7 - ANOVA: Explanatory variables with two levels8分钟
Python Lesson 8 - ANOVA: Explanatory variables with more than 2 levels3分钟
Python Lesson 9 - Post hoc tests for ANOVA5分钟
Python Lesson 10 - ANOVA Summary3分钟
Reading11 个阅读材料
Choosing SAS or Python10分钟
Getting Started with SAS10分钟
Getting Started with Python10分钟
Course Codebooks10分钟
Course Data Sets10分钟
Uploading Your Own Data to SAS10分钟
SAS Program Code for Video Examples10分钟
Python Program Code for Video Examples10分钟
Getting set up for the assignments10分钟
Tumblr Instructions10分钟
Example: Running an analysis of variance10分钟
2
完成时间(小时)
完成时间为 3 小时

Chi Square Test of Independence

This session shows you how to test hypotheses in the context of a Chi-Square Test of Independence (when you have two categorical variables). Your task will be to write a program that manages any additional variables you may need and runs and interprets a Chi-Square Test of Independence. Note that if your research question only includes quantitative variables, you can categorize those just to get some practice with the tool. ...
Reading
7 个视频(共 48 分钟), 3 个阅读材料, 1 个测验
Video7 个视频
SAS Lesson 2 - Chi Square Test of independence in practice5分钟
SAS Lesson 3 - Post hoc tests for Chi Square tests of independence10分钟
SAS Lesson 4 - Chi Square summary1分钟
Python Lesson 2 - Chi Square test of independence in practice8分钟
Python Lesson 3 - Post hoc tests for Chi Square tests of independence8分钟
Python Lesson 4 - Chi Square summary1分钟
Reading3 个阅读材料
SAS Program Code for Video Examples10分钟
Python Program Code for Video Examples10分钟
Example: Running a Chi-Square Test of Independence10分钟
3
完成时间(小时)
完成时间为 3 小时

Pearson Correlation

This session shows you how to test hypotheses in the context of a Pearson Correlation (when you have two quantitative variables). Your task will be to write a program that manages any additional variables you may need and runs and interprets a correlation coefficient. Note that if your research question only includes categorical variables, you can choose other variables from your data set just to get some practice with the tool. ...
Reading
4 个视频(共 18 分钟), 2 个阅读材料, 1 个测验
Video4 个视频
Lesson 2 - Correlation Example3分钟
SAS Lesson 3 - Calculating Correlation4分钟
Python Lesson 3 - Calculating Correlation4分钟
Reading2 个阅读材料
SAS Program Code for Video Examples10分钟
Python Program Code for Video Examples10分钟
4
完成时间(小时)
完成时间为 3 小时

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. ...
Reading
9 个视频(共 51 分钟), 2 个阅读材料, 1 个测验
Video9 个视频
SAS Lesson 2 - Testing moderation in the context of ANOVA4分钟
SAS Lesson 3 - Testing moderation in the context of chi square6分钟
SAS Lesson 4 - Testing moderation in the context of correlation4分钟
Python Lesson 1 - Defining moderation, a.k.a. statistical interaction4分钟
Python Lesson 2 - Testing moderation in the context of ANOVA3分钟
Python Lesson 3 - Testing moderation in the context of Chi-Square4分钟
Python Lesson 4 - Testing moderation in the context of correlation4分钟
A Question of Causation (Used with Permission from Annenberg Learner)14分钟
Reading2 个阅读材料
SAS Program Code for Video Examples10分钟
Python Program Code for Video Examples10分钟
4.5
职业方向

33%

完成这些课程后已开始新的职业生涯
工作福利

83%

通过此课程获得实实在在的工作福利
职业晋升

20%

加薪或升职

热门审阅

创建者 DLDec 20th 2015

Again, with no formal SAS training and minimal statistics background. I found taking the first course and then this course - week after week my knowledge grew in a consistent and organized fashion.

创建者 AMDec 3rd 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.

讲师

Avatar

Jen Rose

Research Professor
Psychology
Avatar

Lisa Dierker

Professor
Psychology

关于 Wesleyan University

At Wesleyan, distinguished scholar-teachers work closely with students, taking advantage of fluidity among disciplines to explore the world with a variety of tools. The university seeks to build a diverse, energetic community of students, faculty, and staff who think critically and creatively and who value independence of mind and generosity of spirit. ...

关于 Data Analysis and Interpretation 专项课程

Learn SAS or Python programming, expand your knowledge of analytical methods and applications, and conduct original research to inform complex decisions. The Data Analysis and Interpretation Specialization takes you from data novice to data expert in just four project-based courses. You will apply basic data science tools, including data management and visualization, modeling, and machine learning using your choice of either SAS or Python, including pandas and Scikit-learn. Throughout the Specialization, you will analyze a research question of your choice and summarize your insights. In the Capstone Project, you will use real data to address an important issue in society, and report your findings in a professional-quality report. You will have the opportunity to work with our industry partners, DRIVENDATA and The Connection. Help DRIVENDATA solve some of the world's biggest social challenges by joining one of their competitions, or help The Connection better understand recidivism risk for people on parole in substance use treatment. Regular feedback from peers will provide you a chance to reshape your question. This Specialization is designed to help you whether you are considering a career in data, work in a context where supervisors are looking to you for data insights, or you just have some burning questions you want to explore. No prior experience is required. By the end you will have mastered statistical methods to conduct original research to inform complex decisions....
Data Analysis and Interpretation

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