- Sampling (Statistics)
- Data Ethics
- A/B Testing
- Probability & Statistics
- Statistical Inference
- Quantitative Research
- Statistical Hypothesis Testing
- Statistical Methods
Statistical Inference and Hypothesis Testing in Data Science Applications
Completed by Sena Kaya
April 18, 2022
36 hours (approximately)
Sena Kaya's account is verified. Coursera certifies their successful completion of Statistical Inference and Hypothesis Testing in Data Science Applications
What you will learn
Define a composite hypothesis and the level of significance for a test with a composite null hypothesis.
Define a test statistic, level of significance, and the rejection region for a hypothesis test. Give the form of a rejection region.
Perform tests concerning a true population variance.
Compute the sampling distributions for the sample mean and sample minimum of the exponential distribution.
Skills you will gain
