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Opiniones y comentarios de aprendices correspondientes a Inferential Statistics por parte de Universidad de Ámsterdam

384 calificaciones
108 revisiones

Acerca del Curso

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. We will start by considering the basic principles of significance testing: the sampling and test statistic distribution, p-value, significance level, power and type I and type II errors. Then we will consider a large number of statistical tests and techniques that help us make inferences for different types of data and different types of research designs. For each individual statistical test we will consider how it works, for what data and design it is appropriate and how results should be interpreted. You will also learn how to perform these tests using freely available software. For those who are already familiar with statistical testing: We will look at z-tests for 1 and 2 proportions, McNemar's test for dependent proportions, t-tests for 1 mean (paired differences) and 2 means, the Chi-square test for independence, Fisher’s exact test, simple regression (linear and exponential) and multiple regression (linear and logistic), one way and factorial analysis of variance, and non-parametric tests (Wilcoxon, Kruskal-Wallis, sign test, signed-rank test, runs test)....

Principales revisiones


Feb 13, 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.


Apr 15, 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.

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51 - 75 de 102 revisiones para Inferential Statistics

por Andres F P T

Jun 12, 2020

The last topic on non-parametric test was not well explained

por Vikram S

Jan 28, 2017

One of the better Statistical Inference courses out there.

por Francisco J G L

Sep 11, 2019

Me ha hecho sufrir , estoy alegre de haber pasado OUIIIII

por Stanislav M

Mar 25, 2016

Hidden jem on inferential statistics on Coursera.

por Deepak N

Jun 12, 2018

Awesome Learning experience Thank You soo much.

por Md Y A

Jan 18, 2018

I have learned a lot from this course. Thanks


Sep 23, 2019

I loved the course. Fantastic in every way

por Laurenz R

Oct 22, 2017

Very good explanation of the given topics!

por Solomon A

Oct 05, 2017

Great course. Very deep and practical.

por Nan H

Jun 02, 2020

A very good course, I gained a lot!

por Benjamin H

Jul 27, 2018

Wow! This course was challenging!

por Tran T V

Jun 06, 2018

I love it. Thank you very much!

por Joemert C E

Jun 19, 2017

Challenging and great course..


May 09, 2016

Quite difficult but amazing!

por Gyöngyi C

Jul 09, 2018

Useful and understandable.

por Ayedh N

Mar 31, 2016

Easy to understand.

por Yaara G

Jan 15, 2017

Great content

por Victor C

Mar 06, 2016

great course

por norbert b

Aug 07, 2018


por ahmed s a

Jul 26, 2016


por Cui L

Jun 22, 2020


por Li Z

Jun 08, 2020


por Cao Z

May 31, 2020


por Eva

Aug 31, 2017

While the first course Basic Statistic was really thorough with step-by-step explainations, Inferential Statistics, near the end of the course sometimes rushed through some explanations. Therefor I sometimes needed extra literature to understand the calculations. Still, I highly recommend this course!

por Jiajing G

Jul 06, 2018

The course is nice with much content and clear examples! So happy that I passed the final exam. But some transcripts in the videos are not correct and some steps in calculation were omitted. I hope reviews of quiz and exams are available.