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Вернуться к Статистика вывода

Отзывы учащихся о курсе Статистика вывода от партнера Амстердамский университет

Оценки: 554
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


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.


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.

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76–100 из 147 отзывов о курсе Статистика вывода

автор: Kuldeep S C

30 нояб. 2020 г.

Very rigorous but rewarding course

автор: Nan H

2 июня 2020 г.

A very good course, I gained a lot!

автор: Benjamin H

26 июля 2018 г.

Wow! This course was challenging!

автор: Wang X

2 нояб. 2020 г.

I love this coursera very much.

автор: Tran T V

6 июня 2018 г.

I love it. Thank you very much!

автор: Joemert C E

19 июня 2017 г.

Challenging and great course..

автор: Edilson S

9 мая 2016 г.

Quite difficult but amazing!

автор: Gyöngyi C

9 июля 2018 г.

Useful and understandable.

автор: Ayedh N

31 мар. 2016 г.

Easy to understand.

автор: Pundalik R N

16 июня 2021 г.

good knowledge

автор: Vrushabh K

23 янв. 2022 г.

Good Learning

автор: Yaara G

15 янв. 2017 г.

Great content

автор: Victor C

6 мар. 2016 г.

great course

автор: Barma N R

19 сент. 2020 г.

very useful

автор: Alex F B H

18 дек. 2020 г.

Very good

автор: Mr. A J N

19 сент. 2020 г.

thank you

автор: Ananth P

3 сент. 2020 г.


автор: Mahendra G S

3 сент. 2020 г.


автор: Prashant N

3 сент. 2020 г.


автор: norbert b

7 авг. 2018 г.


автор: Ahmed S A

26 июля 2016 г.


автор: Ma. Y S

12 сент. 2021 г.


автор: Ashish J R

8 сент. 2021 г.


автор: Yin H

21 окт. 2020 г.


автор: Cui L

22 июня 2020 г.