Volver a Inferential Statistics

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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)....

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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por gerardo r g

•Dec 04, 2018

This course is very helpful for people intereted in quantitative research

por Wen S

•Nov 23, 2017

some minor flaws may exist in the test design. apart from this, all good.

por Priscilla R C

•Jul 10, 2019

It was a great class, it was difficult but it healped me learn a lot!

por Santanu G

•Jun 07, 2017

Excellent Course for Inferential Statistics and Regression Analysis

por Abdirahman M

•Feb 16, 2018

Very interesting but challenging course in Inferential Statistics.

por Roberta d R B

•Dec 28, 2016

Wonderfully useful. It has helped me to run my research analysis.

por Jennifer H

•Jul 13, 2016

Great course. Really helpful examples which were easy to follow.

por Marcos L

•May 05, 2019

Good course.

Very well explicate and good for learning R code.

por Sonal D

•Sep 20, 2017

course is hard you required basic understanding of statistics

por june

•Jun 17, 2017

It's an interesting course, and a little difficult to finish.

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

por RAMIRO C

•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 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..

por EDILSON S S O J

•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