Hypothesis Testing Procedures
Data Science · University of Applied Sciences · Data Analysis and Visualization
This unit introduces the fundamental concepts of hypothesis testing, including the steps involved, types of errors, and the interpretation of p-values. Students will gain a solid understanding of statistical inference and its applications in data analysis.
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Das gehört dazu
- Steps of Hypothesis Testing
- Types of Errors in Hypothesis Testing
- p-values and Statistical Significance
- Null and Alternative Hypotheses
- Test Statistics and Critical Values
- Power of Hypothesis Tests
- Assumptions of Hypothesis Testing
- Interpretation of Hypothesis Test Results
Stichworte
- Hypothesis Testing
- Statistical Inference
- Type I Error
- Type II Error
- p-value
- Statistical Significance
- Null Hypothesis
- Alternative Hypothesis
- Test Statistic
- Critical Value