This course focuses on how analysts can measure and describe the confidence they have in their findings. The course begins with an overview of the key probability rules and concepts that govern the calculation of uncertainty measures. We’ll then apply these ideas to variables (which are the building blocks of statistics) and their associated probability distributions. The second half of the course will delve into the computation and interpretation of uncertainty. We’ll discuss how to conduct a hypothesis test using both test statistics and confidence intervals. Finally, we’ll consider the role of hypothesis testing in a regression context, including what we can and cannot learn from the statistical significance of a coefficient. By the end of the course, you should be able to discuss statistical findings in probabilistic terms and interpret the uncertainty of a particular estimate.

Offered By

Data Literacy SpecializationJohns Hopkins University

## About this Course

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Shareable Certificate

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Course 4 of 5 in the

Intermediate Level

Familiarity with descriptive statistics and basic regression models

Approx. 11 hours to complete

English

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Try Coursera for Business## Skills you will gain

- Statistical Hypothesis Testing
- Measurement of Uncertainty

Flexible deadlines

Reset deadlines in accordance to your schedule.

Shareable Certificate

Earn a Certificate upon completion

100% online

Start instantly and learn at your own schedule.

Course 4 of 5 in the

Intermediate Level

Familiarity with descriptive statistics and basic regression models

Approx. 11 hours to complete

English

Could your company benefit from training employees on in-demand skills?

Try Coursera for Business## Offered by

## Syllabus - What you will learn from this course

**3 hours to complete**

### Probability Theory

**3 hours to complete**

4 videos (Total 26 min), 5 readings, 4 quizzes

**3 hours to complete**

### Random Variables and Distributions

**3 hours to complete**

3 videos (Total 21 min), 5 readings, 4 quizzes

**2 hours to complete**

### Confidence Intervals and Hypothesis Testing

**2 hours to complete**

4 videos (Total 28 min), 3 readings, 4 quizzes

**2 hours to complete**

### Quantifying Uncertainty in Regression Analysis and Polling

**2 hours to complete**

3 videos (Total 22 min), 2 readings, 4 quizzes

## About the Data Literacy Specialization

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