Inferential Statistics
Making inferences from relationships found in the sample to relationships in the population is the focus of inferential statistics. Inferential statistics assist people in determining whether the differences between groups that they observe in their data are strong enough to support the hypothesis that group differences exist in the entire population.
The sampling and test statistic distribution, p-value, significance level, power, and type I and type II errors are all basic principles of significance testing that you'll learn about first. Then you'll look at a variety of statistical tests and techniques that can help you draw conclusions about various types of data and research designs. You'll think about how each statistical test works, what kind of data and design it needs, and how the results should be interpreted for each one. You'll also learn how to run these tests on your own computer using free software.
This course offers:
- Flexible deadlines: Reset deadlines based on your availability.
- Shareable certificate: Get a Certificate when you complete
- 100% online
- Course 4 of 5 in the Specialization Methods and statistics in social sciences
- Approx. 23 hours to complete
- Subtitles: Arabic, French, Portuguese (European), Italian, Vietnamese, German, Russian, English, Spanish
Course ratings: 4.3/5
Enroll here: https://www.coursera.org/learn/inferential-statistics
