學生對 阿姆斯特丹大学 提供的 推论统计 的評價和反饋

4.4
493 個評分
144 條評論

課程概述

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)....

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MN
2020年7月24日

Feeling blessed to perform this course . It was truly an amazing experience for me to go though this course .Learned bunch of theories with their mathematical example.Thanks to the instructors.

ND
2018年2月12日

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.

126 - 推论统计 的 138 個評論（共 138 個）

2016年4月10日

Great job on the course material and labs, quizzes and the final exame however, tend to be very confusing.

2016年4月24日

It's too diffult for some of the questions in the Quiz. Have no idea or support to solve them.

2020年12月29日

The lectures had a lot of errors and because of this the questionaries and exams were hard

2017年5月11日

Fairly good

2020年12月18日

Its a great course but there are some problems with many videos not synchronized with the transcripts. The tests are sometimes really hard, this because the examples of the videos do not give you enought information to solve the test questions. In fact, there are a lot of students that ask the same questions in the forums and the results they get are not correct. You can see also in the forums that many students get stuck on certain test required to advance. This course was really challenging.

2020年5月16日

I truly appreciated the time that has been put into creating this course. However, it is very important that the course organisers improve it. Four years have passed and the course is still full of computation errors. This makes the process of learning frustrating and dissapointing. Furthermore, the video explanations are also rushed and difficult to follow. I would suggest to anyone thinking of taking this course to pursue a course from another institution instead.

2020年5月26日

I managed to complete this course, but it took about 3 months. That was because I read an another Stats ll book for the last 4 weeks rather than revisiting the lectures of this course. The lectures are too much condensed and there are some typos that made me confuse a lot... I like the challenging exams, but the lectures themselves should be improved.

2020年8月10日

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.

2017年6月29日

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

2021年3月29日

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.

2016年4月3日

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.

2016年2月28日

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

2020年12月30日

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