Inferential Statistics, Certificate | Part time online | Coursera | United States
Certificate Online

# Inferential Statistics

2 months
Duration
Free
Free
Unknown
Tuition fee
Anytime
Unknown
Apply date
Anytime
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Start date

The Inferential Statistics course is offered by Coursera in partnership with University of Amsterdam is part of the Methods and Statistics in Social Sciences Specialization.

Visit the Visit university website for more information

## Overview

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).

#### Skills You Will Gain with Inferential Statistics course is offered by Coursera in partnership with University of Amsterdam

• Statistics
• Statistical Inference
• Regression Analysis
• Analysis Of Variance (ANOVA)

## Programme Structure

Courses included:

• Before we get started...
• Comparing two groups
• Categorical association
• Simple regression
• Multiple regression
• Analysis of variance
• Non-parametric tests
• Exam time!

## Key information

• Part-time
• 2 months

### Start dates & application deadlines

You can apply for and start this programme anytime.

English

### Delivered

Online

We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.

## English requirements

We are not aware of any English requirements for this programme.

## Tuition Fee

To always see correct tuition fees
• ### International

Free
Tuition Fee
Based on the tuition of 0 USD for the full programme during 2 months.
• ### National

Free
Tuition Fee
Based on the tuition of 0 USD for the full programme during 2 months.

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## Funding

Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project.

## Our partners

Inferential Statistics
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Coursera

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