Inferential statistics are concerned with making inferences based on relations found in the sample, to relations in the population. Inferential statistics help us decide, for example, whether the differences between groups that we see in our data are strong enough to provide support for our hypothesis that group differences exist in general, in the entire population.
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StatisticsStatistical InferenceRegression AnalysisAnalysis Of Variance (ANOVA)
學生職業成果
62%
完成這些課程後已開始新的職業生涯
44%
通過此課程獲得實實在在的工作福利
100% 在線
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第 4 門課程（共 5 門）
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完成時間大約為41 小時
建議：7 weeks of study, 1-3 hours/week
英語（English）
字幕：英語（English）
教學大綱 - 您將從這門課程中學到什麼
完成時間為 2 小時
Before we get started...
[formatted text here]
完成時間為 2 小時
1 個視頻 （總計 3 分鐘）, 10 個閱讀材料
10 個閱讀材料
Hi there10分鐘
How to navigate this course10分鐘
How to contribute10分鐘
General info - What will I learn in this course?10分鐘
Course format - How is this course structured?10分鐘
Requirements - What resources do I need?10分鐘
Grading - How do I pass this course?10分鐘
Team - Who created this course?10分鐘
Honor Code - Integrity in this course10分鐘
Useful literature and documents10分鐘
完成時間為 5 小時
Comparing two groups
In this second module of week 1 we dive right in with a quick refresher on statistical hypothesis testing. Since we're assuming you just completed the course Basic Statistics, our treatment is a little more abstract and we go really fast! We provide the relevant Basic Statistics videos in case you need a gentler introduction. After the refresher we discuss methods to compare two groups on a categorical or quantitative dependent variable. We use different test for independent and dependent groups.
完成時間為 5 小時
9 個視頻 （總計 55 分鐘）, 5 個閱讀材料, 4 個測驗
9 個視頻
1.02 P-values5分鐘
1.03 Confidence intervals and two-sided tests4分鐘
1.04 Power6分鐘
1.05 Two independent proportions6分鐘
1.06 Two independent means6分鐘
1.07 Two dependent proportions5分鐘
1.08 Two dependent means5分鐘
1.09 Controlling for other variables7分鐘
5 個閱讀材料
Comparing two groups - Drawing inferences10分鐘
Comparing two groups - Independent groups10分鐘
Comparing two groups - Dependent groups10分鐘
Comparing two groups - Controlling for other variables10分鐘
Comparing two groups - Transcripts10分鐘
1 個練習
Comparing two groups36分鐘
完成時間為 3 小時
Categorical association
In this module we tackle categorical association. We'll mainly discuss the Chi-squared test that allows us to decide whether two categorical variables are related in the population. If two categorical variables are unrelated you would expect that categories of these variables don't 'go together'. You would expect the number of cases in each category of one variable to be proportionally similar at each level of the other variable. The Chi-squared test helps us to compare the actual number of cases for each combination of categories (the joint frequencies) to the expected number of cases if the variables are unrelated.
完成時間為 3 小時
6 個視頻 （總計 47 分鐘）, 4 個閱讀材料, 2 個測驗
6 個視頻
2.02 The Chi-squared test6分鐘
2.03 Interpreting the Chi-squared test7分鐘
2.04 Chi-squared as goodness-of-fit7分鐘
2.05 The Chi-squared test - sidenotes8分鐘
2.06 Fisher's exact test6分鐘
4 個閱讀材料
Categorical association - Chi-squared test for association10分鐘
Categorical association - Chi-squared test for goodness of fit10分鐘
Categorical association - Sidenotes and an alternative to the Chi-squared test10分鐘
Categorical association - Transcripts10分鐘
1 個練習
Categorical association30分鐘
完成時間為 3 小時
Simple regression
In this module we’ll see how to describe the association between two quantitative variables using simple (linear) regression analysis. Regression analysis allows us to model the relation between two quantitative variables and - based on our sample -decide whether a 'real' relation exists in the population. Regression analysis is more useful than just calculating a correlation coefficient, since it allows us assess how well our regression line fits the data, it helps us to identify outliers and to predict scores on the dependent variable for new cases.
完成時間為 3 小時
9 個視頻 （總計 50 分鐘）, 4 個閱讀材料, 2 個測驗
9 個視頻
3.02 The regression equation6分鐘
3.03 The regression model5分鐘
3.04 Predictive power5分鐘
3.05 Pitfalls in regression6分鐘
3.06 Testing the model5分鐘
3.07 Checking assumptions5分鐘
3.08 CI and PI for predicted values5分鐘
3.09 Exponential regression5分鐘
4 個閱讀材料
Simple regression - Describing quantitative association10分鐘
Simple regression - Drawing inferences10分鐘
Simple regression - Exponential regression10分鐘
Simple regression - Transcripts10分鐘
1 個練習
Simple regression34分鐘
完成時間為 3 小時
Multiple regression
In this module we’ll see how we can use more than one predictor to describe or predict a quantitative outcome variable. In the social sciences relations between psychological and social variables are generally not very strong, since outcomes are generally influences by complex processes involving many variables. So it really helps to be able to describe an outcome variable with several predictors, not just to increase the fit of the model, but also to assess the individual contribution of each predictor, while controlling for the others.
完成時間為 3 小時
8 個視頻 （總計 50 分鐘）, 4 個閱讀材料, 2 個測驗
8 個視頻
4.02 R and R-squared5分鐘
4.03 Overall test5分鐘
4.04 Individual tests6分鐘
4.05 Checking assumptions4分鐘
4.06 Categorical predictors6分鐘
4.07 Categorical response variable6分鐘
4.08 Interpreting results7分鐘
4 個閱讀材料
Multiple regression - Model10分鐘
Multiple regression - Tests10分鐘
Multiple regression - Categorical predictors, categorical response variable and example10分鐘
Multiple regression - Transcripts10分鐘
1 個練習
Multiple regression42分鐘
審閱
4.4
來自推论统计的熱門評論
由 RW 提供Mar 28, 2016
A good introduction with very good videos and exercises. I'm only not giving 5 stars due to the relative lack of clarity in the final week and the lack of feedback on the final exam.
由 ND 提供Feb 12, 2018
Incredibly dense (which they warn you about) so the lecutres fly over so much important info it's hard to keep track of even with a strong focus. A very good overview though.
由 RR 提供Jan 7, 2017
Not giving 5 stars only because it was fast paced. With a low grasping power i had to watch the video again and again. Otherwise the content in the video is to the point.
由 YZ 提供Apr 14, 2016
I understood inferential statistics better with this course. Both teachers made the concepts clear for me. The R homework helps me review inferential statistics methods.
由 LS 提供Dec 15, 2016
I enjoyed this course. Being new to stats, I feel I needed more practice and extra examples. A lot of extra work and self-study helped me grasp and pass this course.
由 PA 提供Jul 3, 2017
Hi, I enjoyed really well and this very good course on Inferential Statistics. My experience was really good. Thank you for providing the course for free!
由 DM 提供Apr 14, 2018
Much more study required than the Basic Statistics course, I completed with 93% by using a notepad, pausing regularly and taking a lot of notes.
由 ZH 提供Oct 24, 2018
This course was relatively difficult for my slow brain. I learned A LOT. but I still feel the need for doing this course one more time
由 FY 提供Jan 24, 2017
A very fast course! Really gave me a hard time. Very good content and good organization. A lot of calculations on the final.
由 SK 提供Feb 10, 2017
Excellent Course for Inferential Statistics. Really Enjoyed the course. R quiz give hands-on on the data sets.
由 OM 提供Apr 13, 2019
Enjoyed it. The tutors are amazing in how they help you understand each topic and the workings around it.
由 GL 提供Jan 29, 2018
the teacher is very resposibile for the student, gives me much ideas about inferential statistics!
由 LY 提供Jan 3, 2018
Compare to Basic Statistics, this is indeed a challenging course but worth the effort.
由 FP 提供Jun 17, 2018
It is a great course it will be next course that I shall take when I have more time
由 DS 提供Mar 26, 2017
Excellent course. Great examples and videos. It is challenging but totally worthy.
由 IP 提供May 26, 2016
Very carefully presented and organized introductory course. Well put R support.
由 MR 提供Dec 27, 2018
loved the way, you carried a statistics virgin like through the course
由 PC 提供Jul 9, 2019
It was a great class, it was difficult but it healped me learn a lot!
由 SG 提供Jun 6, 2017
Excellent Course for Inferential Statistics and Regression Analysis
由 AM 提供Feb 15, 2018
Very interesting but challenging course in Inferential Statistics.
關於 社会科学的方法和统计 專項課程
Identify interesting questions, analyze data sets, and correctly interpret results to make solid, evidence-based decisions.
This Specialization covers research methods, design and statistical analysis for social science research questions. In the final Capstone Project, you’ll apply the skills you learned by developing your own research question, gathering data, and analyzing and reporting on the results using statistical methods.
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