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## Learner Reviews & Feedback for Inferential Statistics by University of Amsterdam

4.3
stars
588 ratings

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, Fisherâ€™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)....

## Top reviews

FR

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it's amazing course for me, because this course can improve my knowledge of inferential statistics

BF

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It's an outstanding course, have learnt my skills and techniques for testing hypothesis and data analysis.

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## 151 - 158 of 158 Reviews for Inferential Statistics

By Petra S

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Aug 10, 2020

Extremely difficult course. I felt so discouraged during this course, I wish that at least we had explanations why something was incorrect in the quizes.

By Jessica N

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Jun 29, 2017

Compared to previous courses in this series, I felt this course did not provide enough detailed examples of how to calculate the test statistics.

By Alexandru G

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Mar 29, 2021

This Course did not meet my expectations, which were fairly modest to begin with: all I wanted was to learn a bit more about Inferential Statistics. Instead, I got nothing from the course, apart from a short introduction in R (this was the only good thing about the course and the reason for the 1 star). The course structure seems logical, but the way the lessons are made is really bad. Videos are short and lack any explanation whatsoever (this is the whole point of a lecture - to explain!). Anyone who is doing this course is already at a computer and can google any formula for any of the presented concepts. What I wanted to see is a good explanation of why we use the said formula. Unfortunately, the course doesn't offer any. The quizes at the end of each week do not give explanation for the wrong answers. There is no way for a student to understand and learn from failure. It's strange that the course has such a good rating on Coursera, when most of the course's forum is filled with messages from frustrated students, who have similar complains as I am. The course may be suitable for someone who already knows these topics very well and only wants a certificate. For someone like me, who actually used all these tests in practice with statistical software, but wanted to understand the reasoning behind the tests and formulas, this course is a waste of time. That is my biggest regret: I wasted a lot of time without learning anything.

By Gong T

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Apr 3, 2016

the content is too rich, and the explanation is too little. The no-feedback exam is misleading, difficult to pass. The course staff is not that helpful.

By Zacharias V

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Feb 28, 2016

A couple of results in Q1 directly contradict the theory. Course is quite unreliable.

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Sep 29, 2021

Week 5 and 6 were absolutely confusing with missing instructions and errors

By Zheng Z

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May 29, 2024

Too difficult questions and quizzes! Too many calculations to do!

By Nashia A

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Dec 30, 2020

Too hard to understand for a non-technical person like me!