Вернуться к Статистика вывода

4.3
звезд
Оценки: 552
Рецензии: 153

## О курсе

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)....

## Лучшие рецензии

MN

24 июля 2020 г.

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

12 февр. 2018 г.

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.

Фильтр по:

## 51–75 из 147 отзывов о курсе Статистика вывода

автор: DIANA C S

27 мар. 2017 г.

Excellent course. Great examples and videos. It is challenging but totally worthy.

автор: shizhen J

21 апр. 2020 г.

Still like this course. If the quiz answers can be provided, that would be great!

автор: Ivan P

27 мая 2016 г.

Very carefully presented and organized introductory course. Well put R support.

автор: gerardo r g

4 дек. 2018 г.

This course is very helpful for people intereted in quantitative research

автор: Wen S

22 нояб. 2017 г.

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

автор: Priscilla R C

10 июля 2019 г.

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

автор: Santanu G

7 июня 2017 г.

Excellent Course for Inferential Statistics and Regression Analysis

автор: Abdirahman O

16 февр. 2018 г.

Very interesting but challenging course in Inferential Statistics.

автор: Roberta d R B

27 дек. 2016 г.

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

автор: Jennifer H

13 июля 2016 г.

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

автор: Ollie G

6 дек. 2020 г.

very broad coverage of lots of statstics you'll use day to day

автор: Marcos L L

5 мая 2019 г.

Good course.

Very well explicate and good for learning R code.

автор: Sonal D

20 сент. 2017 г.

course is hard you required basic understanding of statistics

автор: june

17 июня 2017 г.

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

автор: Andres F P T

12 июня 2020 г.

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

автор: Vikram S

28 янв. 2017 г.

One of the better Statistical Inference courses out there.

автор: Francisco J G L

11 сент. 2019 г.

Me ha hecho sufrir , estoy alegre de haber pasado OUIIIII

4 нояб. 2020 г.

this was a very challenging course but i learned a lot !

автор: Stanislav M

25 мар. 2016 г.

Hidden jem on inferential statistics on Coursera.

автор: Deepak N

12 июня 2018 г.

Awesome Learning experience Thank You soo much.

автор: Md Y A

18 янв. 2018 г.

I have learned a lot from this course. Thanks

автор: Ramiro C

23 сент. 2019 г.

I loved the course. Fantastic in every way

автор: Laurenz R

22 окт. 2017 г.

Very good explanation of the given topics!

автор: Solomon A

5 окт. 2017 г.

Great course. Very deep and practical.

автор: Muneera m

8 нояб. 2021 г.