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.
Este curso forma parte de Programa Especializado - Methods and Statistics in Social Sciences
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Programa Especializado - Methods and Statistics in Social SciencesUniversidad de ÁmsterdamAcerca de este Curso
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Resultados profesionales del estudiante
62%
comenzó una nueva carrera después de completar estos cursos
44%
consiguió un beneficio tangible en su carrera profesional gracias a este curso
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Obtén un certificado al finalizar
100 % en línea
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Fechas límite flexibles
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Aprox. 24 horas para completar
Inglés (English)
Subtítulos: Inglés (English)
Habilidades que obtendrás
StatisticsStatistical InferenceRegression AnalysisAnalysis Of Variance (ANOVA)
Resultados profesionales del estudiante
62%
comenzó una nueva carrera después de completar estos cursos
44%
consiguió un beneficio tangible en su carrera profesional gracias a este curso
Certificado para compartir
Obtén un certificado al finalizar
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. 24 horas para completar
Inglés (English)
Subtítulos: Inglés (English)
ofrecido por
Universidad de Ámsterdam
A modern university with a rich history, the University of Amsterdam
Programa - Qué aprenderás en este curso
2 horas para completar
Before we get started...
[formatted text here]
2 horas para completar
1 video (Total 3 minutos), 10 lecturas
1 video
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.
5 horas para completar
9 videos (Total 55 minutos), 5 lecturas, 4 cuestionarios
9 videos
1.02 P-values5m
1.03 Confidence intervals and two-sided tests4m
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.
3 horas para completar
6 videos (Total 47 minutos), 4 lecturas, 2 cuestionarios
6 videos
2.02 The Chi-squared test6m
2.03 Interpreting the Chi-squared test7m
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.
3 horas para completar
9 videos (Total 50 minutos), 4 lecturas, 2 cuestionarios
9 videos
3.02 The regression equation6m
3.03 The regression model5m
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.
3 horas para completar
8 videos (Total 50 minutos), 4 lecturas, 2 cuestionarios
8 videos
4.02 R and R-squared5m
4.03 Overall test5m
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
Revisiones
Principales revisiones sobre INFERENTIAL STATISTICS
por RW28 de mar. de 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.
por ND12 de feb. de 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 RR7 de ene. de 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.
por YZ14 de abr. de 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.
Acerca de 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.
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