4.6
4,164 个评分

## 课程概述

Understanding statistics is essential to understand research in the social and behavioral sciences. In this course you will learn the basics of statistics; not just how to calculate them, but also how to evaluate them. This course will also prepare you for the next course in the specialization - the course Inferential Statistics. In the first part of the course we will discuss methods of descriptive statistics. You will learn what cases and variables are and how you can compute measures of central tendency (mean, median and mode) and dispersion (standard deviation and variance). Next, we discuss how to assess relationships between variables, and we introduce the concepts correlation and regression. The second part of the course is concerned with the basics of probability: calculating probabilities, probability distributions and sampling distributions. You need to know about these things in order to understand how inferential statistics work. The third part of the course consists of an introduction to methods of inferential statistics - methods that help us decide whether the patterns we see in our data are strong enough to draw conclusions about the underlying population we are interested in. We will discuss confidence intervals and significance tests. You will not only learn about all these statistical concepts, you will also be trained to calculate and generate these statistics yourself using freely available statistical software....

## 热门审阅

PG

Apr 20, 2016

This is a nice course...thanks for providing such a great content from University of Amserdam.

Please allow us to complete the course as I have to wait till the session starts for week 2 lessions.

Jun 27, 2022

Instructors have provided concise explanations of the concepts. There are many examples considered that make statistics easier to understand! Also, the illustrations are fancy. I enjoyed every video!

Sep 2, 2017

Excellent

Jun 19, 2017

Excelente

Feb 23, 2017

Excellent

Apr 12, 2016

Excelent.

Jan 9, 2016

Excellent

May 11, 2020

Good one

Mar 7, 2018

Awesome!

Jan 22, 2020

Awesome

Feb 28, 2019

so good

Jun 24, 2017

awesome

Mar 9, 2017

Awesome

Mar 6, 2017

perfect

Mar 28, 2022

Ótimo.

Aug 27, 2020

thanks

Apr 10, 2019

awsome

Nov 19, 2018

Great!

Apr 2, 2018

Great!

Apr 9, 2016

Great!

Aug 10, 2022

great

Jan 2, 2021

Great

Jun 3, 2020

super

Aug 16, 2019

great

Mar 6, 2017

great

Mar 11, 2021

Dec 7, 2020

good