DATA SCIENCE : Hypothesis Testing.
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Before we dive in, let's define some key terms that will help us understand, in layman's terms, what hypothesis testing is in prediction models. 1. Hypothesis testing: A statistical method of determining whether a specific theory/Argument/relationship in sample data is true or false by evaluating computed evidence. e.g., Does education level affect an employee's salary? 2. Test Statistic: A computed value from sample data that measures how different the sample result is from what is expected…
1Key Takeaways
- Before we dive in, let's define some key terms that will help us understand, in layman's terms, what hypothesis testing is in prediction models.
- Hypothesis testing: A statistical method of determining whether a specific theory/Argument/relationship in sample data is true or false by evaluating computed evidence.
- e.g., Does education level affect an employee's salary?
- Test Statistic: A computed value from sample data that measures how different the sample result is from what is expected….
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3Why it matters
Coding AI shifts how fast software ships and how much human review each change needs. DEV — ML reports that before we dive in, let's define some key terms that will help us understand, in layman's terms, what hypothesis testing is in prediction models.
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