Hypothesis Testing
Master of Business Administration · University · Data Analytics
This unit introduces the fundamental concepts of hypothesis testing, including null and alternative hypotheses, significance levels, and p-values. Students will learn how to apply these concepts to real-world data analysis scenarios.
Zum Üben gibt es 54 Aufgaben. Jede Antwort bekommt sofort eine Rückmeldung, kostenlos und ohne Anmeldung.
Das gehört dazu
- Introduction to Hypothesis Testing
- Null and Alternative Hypotheses
- Significance Level and P-value
- Types of Hypothesis Tests
- Statistical Power
- Assumptions of Hypothesis Testing
- Interpretation of Hypothesis Test Results
- Common Errors in Hypothesis Testing
Stichworte
- Hypothesis Testing
- Null Hypothesis
- Alternative Hypothesis
- Significance Level
- P-value
- Type I Error
- Type II Error
- One-Tailed Test
- Two-Tailed Test