Acerca de este Curso
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Aprox. 41 horas para completar

Sugerido: 7 weeks of study, 1-3 hours/week...

Inglés (English)

Subtítulos: Inglés (English)

Habilidades que obtendrás

StatisticsStatistical InferenceRegression AnalysisAnalysis Of Variance (ANOVA)

100 % en línea

Comienza de inmediato y aprende a tu propio ritmo.

Fechas límite flexibles

Restablece las fechas límite en función de tus horarios.

Aprox. 41 horas para completar

Sugerido: 7 weeks of study, 1-3 hours/week...

Inglés (English)

Subtítulos: Inglés (English)

Programa - Qué aprenderás en este curso

2 horas para completar

Before we get started...

[formatted text here]

1 video (Total 3 minutos), 10 readings
10 lecturas
Hi there10m
How to navigate this course10m
How to contribute10m
General info - What will I learn in this course?10m
Course format - How is this course structured?10m
Requirements - What resources do I need?10m
Grading - How do I pass this course?10m
Team - Who created this course?10m
Honor Code - Integrity in this course10m
Useful literature and documents10m
5 horas para completar

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.

9 videos (Total 55 minutos), 5 readings, 4 quizzes
9 videos
1.04 Power6m
1.05 Two independent proportions6m
1.06 Two independent means6m
1.07 Two dependent proportions5m
1.08 Two dependent means5m
1.09 Controlling for other variables7m
5 lecturas
Comparing two groups - Drawing inferences10m
Comparing two groups - Independent groups10m
Comparing two groups - Dependent groups10m
Comparing two groups - Controlling for other variables10m
Comparing two groups - Transcripts10m
1 ejercicio de práctica
Comparing two groups36m
3 horas para completar

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.

6 videos (Total 47 minutos), 4 readings, 2 quizzes
6 videos
2.04 Chi-squared as goodness-of-fit7m
2.05 The Chi-squared test - sidenotes8m
2.06 Fisher's exact test6m
4 lecturas
Categorical association - Chi-squared test for association10m
Categorical association - Chi-squared test for goodness of fit10m
Categorical association - Sidenotes and an alternative to the Chi-squared test10m
Categorical association - Transcripts10m
1 ejercicio de práctica
Categorical association30m
3 horas para completar

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.

9 videos (Total 50 minutos), 4 readings, 2 quizzes
9 videos
3.04 Predictive power5m
3.05 Pitfalls in regression6m
3.06 Testing the model5m
3.07 Checking assumptions5m
3.08 CI and PI for predicted values5m
3.09 Exponential regression5m
4 lecturas
Simple regression - Describing quantitative association10m
Simple regression - Drawing inferences10m
Simple regression - Exponential regression10m
Simple regression - Transcripts10m
1 ejercicio de práctica
Simple regression34m
3 horas para completar

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.

8 videos (Total 50 minutos), 4 readings, 2 quizzes
8 videos
4.04 Individual tests6m
4.05 Checking assumptions4m
4.06 Categorical predictors6m
4.07 Categorical response variable6m
4.08 Interpreting results7m
4 lecturas
Multiple regression - Model10m
Multiple regression - Tests10m
Multiple regression - Categorical predictors, categorical response variable and example10m
Multiple regression - Transcripts10m
1 ejercicio de práctica
Multiple regression42m
82 revisionesChevron Right


comenzó una nueva carrera después de completar estos cursos


consiguió un beneficio tangible en su carrera profesional gracias a este curso


consiguió un aumento de sueldo o ascenso

Principales revisiones sobre Inferential Statistics

por NDFeb 13th 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.

por YZApr 15th 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.



Annemarie Zand Scholten

Assistant Professor
Economics and Business

Emiel van Loon

Assistant Professor
Institute for Biodiversity and Ecosystem Dynamics

Acerca de Universidad de Ámsterdam

A modern university with a rich history, the University of Amsterdam (UvA) traces its roots back to 1632, when the Golden Age school Athenaeum Illustre was established to train students in trade and philosophy. Today, with more than 30,000 students, 5,000 staff and 285 study programmes (Bachelor's and Master's), many of which are taught in English, and a budget of more than 600 million euros, it is one of the largest comprehensive universities in Europe. It is a member of the League of European Research Universities and also maintains intensive contact with other leading research universities around the world....

Acerca del programa especializado Methods and Statistics in Social Sciences

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....
Methods and Statistics in Social Sciences

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