課程信息
4.5
329 個評分
76 個審閱
專項課程

第 2 門課程(共 5 門)

100% 在線

100% 在線

立即開始,按照自己的計劃學習。
可靈活調整截止日期

可靈活調整截止日期

根據您的日程表重置截止日期。
完成時間(小時)

完成時間大約為13 小時

建議:4 hours/week...
可選語言

英語(English)

字幕:英語(English)

您將獲得的技能

Chi-Squared (Chi-2) DistributionData AnalysisStatistical Hypothesis TestingAnalysis Of Variance (ANOVA)
專項課程

第 2 門課程(共 5 門)

100% 在線

100% 在線

立即開始,按照自己的計劃學習。
可靈活調整截止日期

可靈活調整截止日期

根據您的日程表重置截止日期。
完成時間(小時)

完成時間大約為13 小時

建議:4 hours/week...
可選語言

英語(English)

字幕:英語(English)

教學大綱 - 您將從這門課程中學到什麼

1
完成時間(小時)
完成時間為 5 小時

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 個視頻 (總計 79 分鐘), 11 個閱讀材料, 1 個測驗
Video14 個視頻
Lesson 2 - From sample to population5分鐘
Lesson 3 - Steps in hypothesis testing7分鐘
Lesson 4 - What is a p value?5分鐘
Lesson 5 - How to choose a statistical test1分鐘
Lesson 6 - Ideas behind ANOVA9分鐘
SAS Lesson 7 - ANOVA: Explanatory variable with 2 levels6分鐘
SAS Lesson 8 - ANOVA: Explanatory variables with more than 2 levels2分鐘
SAS Lesson 9 - Post hoc tests for ANOVA5分鐘
SAS Lesson 10 - ANOVA summary2分鐘
Python Lesson 7 - ANOVA: Explanatory variables with two levels8分鐘
Python Lesson 8 - ANOVA: Explanatory variables with more than 2 levels3分鐘
Python Lesson 9 - Post hoc tests for ANOVA5分鐘
Python Lesson 10 - ANOVA Summary3分鐘
Reading11 個閱讀材料
Choosing SAS or Python10分鐘
Getting Started with SAS10分鐘
Getting Started with Python10分鐘
Course Codebooks10分鐘
Course Data Sets10分鐘
Uploading Your Own Data to SAS10分鐘
SAS Program Code for Video Examples10分鐘
Python Program Code for Video Examples10分鐘
Getting set up for the assignments10分鐘
Tumblr Instructions10分鐘
Example: Running an analysis of variance10分鐘
2
完成時間(小時)
完成時間為 3 小時

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 個視頻 (總計 48 分鐘), 3 個閱讀材料, 1 個測驗
Video7 個視頻
SAS Lesson 2 - Chi Square Test of independence in practice5分鐘
SAS Lesson 3 - Post hoc tests for Chi Square tests of independence10分鐘
SAS Lesson 4 - Chi Square summary1分鐘
Python Lesson 2 - Chi Square test of independence in practice8分鐘
Python Lesson 3 - Post hoc tests for Chi Square tests of independence8分鐘
Python Lesson 4 - Chi Square summary1分鐘
Reading3 個閱讀材料
SAS Program Code for Video Examples10分鐘
Python Program Code for Video Examples10分鐘
Example: Running a Chi-Square Test of Independence10分鐘
3
完成時間(小時)
完成時間為 3 小時

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 個視頻 (總計 18 分鐘), 2 個閱讀材料, 1 個測驗
Video4 個視頻
Lesson 2 - Correlation Example3分鐘
SAS Lesson 3 - Calculating Correlation4分鐘
Python Lesson 3 - Calculating Correlation4分鐘
Reading2 個閱讀材料
SAS Program Code for Video Examples10分鐘
Python Program Code for Video Examples10分鐘
4
完成時間(小時)
完成時間為 3 小時

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 個視頻 (總計 51 分鐘), 2 個閱讀材料, 1 個測驗
Video9 個視頻
SAS Lesson 2 - Testing moderation in the context of ANOVA4分鐘
SAS Lesson 3 - Testing moderation in the context of chi square6分鐘
SAS Lesson 4 - Testing moderation in the context of correlation4分鐘
Python Lesson 1 - Defining moderation, a.k.a. statistical interaction4分鐘
Python Lesson 2 - Testing moderation in the context of ANOVA3分鐘
Python Lesson 3 - Testing moderation in the context of Chi-Square4分鐘
Python Lesson 4 - Testing moderation in the context of correlation4分鐘
A Question of Causation (Used with Permission from Annenberg Learner)14分鐘
Reading2 個閱讀材料
SAS Program Code for Video Examples10分鐘
Python Program Code for Video Examples10分鐘
4.5
76 個審閱Chevron Right
職業方向

33%

完成這些課程後已開始新的職業生涯
工作福利

38%

通過此課程獲得實實在在的工作福利
職業晉升

20%

加薪或升職

熱門審閱

創建者 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.

創建者 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.

講師

Avatar

Jen Rose

Research Professor
Psychology
Avatar

Lisa Dierker

Professor
Psychology

關於 卫斯连大学

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. ...

關於 数据分析和解释 專項課程

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....
数据分析和解释

常見問題

  • 注册以便获得证书后,您将有权访问所有视频、测验和编程作业(如果适用)。只有在您的班次开课之后,才可以提交和审阅同学互评作业。如果您选择在不购买的情况下浏览课程,可能无法访问某些作业。

  • 您注册课程后,将有权访问专项课程中的所有课程,并且会在完成课程后获得证书。您的电子课程证书将添加到您的成就页中,您可以通过该页打印您的课程证书或将其添加到您的领英档案中。如果您只想阅读和查看课程内容,可以免费旁听课程。

還有其他問題嗎?請訪問 學生幫助中心