Informações sobre o curso
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Aprox. 41 horas para completar

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


Legendas: Inglês

Habilidades que você terá

StatisticsStatistical InferenceRegression AnalysisAnalysis Of Variance (ANOVA)

100% online

Comece imediatamente e aprenda em seu próprio cronograma.

Prazos flexíveis

Redefinir os prazos de acordo com sua programação.

Aprox. 41 horas para completar

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


Legendas: Inglês

Programa - O que você aprenderá com este curso

2 horas para concluir

Before we get started...

[formatted text here]

1 vídeo ((Total 3 mín.)), 10 leituras
10 leituras
Hi there10min
How to navigate this course10min
How to contribute10min
General info - What will I learn in this course?10min
Course format - How is this course structured?10min
Requirements - What resources do I need?10min
Grading - How do I pass this course?10min
Team - Who created this course?10min
Honor Code - Integrity in this course10min
Useful literature and documents10min
5 horas para concluir

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 vídeos ((Total 55 mín.)), 5 leituras, 4 testes
9 videos
1.02 P-values5min
1.03 Confidence intervals and two-sided tests4min
1.04 Power6min
1.05 Two independent proportions6min
1.06 Two independent means6min
1.07 Two dependent proportions5min
1.08 Two dependent means5min
1.09 Controlling for other variables7min
5 leituras
Comparing two groups - Drawing inferences10min
Comparing two groups - Independent groups10min
Comparing two groups - Dependent groups10min
Comparing two groups - Controlling for other variables10min
Comparing two groups - Transcripts10min
1 exercício prático
Comparing two groups36min
3 horas para concluir

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 vídeos ((Total 47 mín.)), 4 leituras, 2 testes
6 videos
2.02 The Chi-squared test6min
2.03 Interpreting the Chi-squared test7min
2.04 Chi-squared as goodness-of-fit7min
2.05 The Chi-squared test - sidenotes8min
2.06 Fisher's exact test6min
4 leituras
Categorical association - Chi-squared test for association10min
Categorical association - Chi-squared test for goodness of fit10min
Categorical association - Sidenotes and an alternative to the Chi-squared test10min
Categorical association - Transcripts10min
1 exercício prático
Categorical association30min
3 horas para concluir

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 vídeos ((Total 50 mín.)), 4 leituras, 2 testes
9 videos
3.02 The regression equation6min
3.03 The regression model5min
3.04 Predictive power5min
3.05 Pitfalls in regression6min
3.06 Testing the model5min
3.07 Checking assumptions5min
3.08 CI and PI for predicted values5min
3.09 Exponential regression5min
4 leituras
Simple regression - Describing quantitative association10min
Simple regression - Drawing inferences10min
Simple regression - Exponential regression10min
Simple regression - Transcripts10min
1 exercício prático
Simple regression34min
3 horas para concluir

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 vídeos ((Total 50 mín.)), 4 leituras, 2 testes
8 videos
4.02 R and R-squared5min
4.03 Overall test5min
4.04 Individual tests6min
4.05 Checking assumptions4min
4.06 Categorical predictors6min
4.07 Categorical response variable6min
4.08 Interpreting results7min
4 leituras
Multiple regression - Model10min
Multiple regression - Tests10min
Multiple regression - Categorical predictors, categorical response variable and example10min
Multiple regression - Transcripts10min
1 exercício prático
Multiple regression42min
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Principais avaliações do Estatística Inferencial

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

Sobre Universidade de Amsterdã

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....

Sobre o Programa de cursos integrados Métodos e estatística aplicados às Ciências SociaisMétodos e Estatística Aplicados às Ciências Sociais

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....
Métodos e estatística aplicados às Ciências SociaisMétodos e Estatística Aplicados às Ciências Sociais

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