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Chapter 7 — Chapter 7 — Hypothesis Testing
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📘Easy summary
Hypothesis testing is a method used to make decisions using data. It checks whether an assumption is true or false and is widely used in research and analysis. It follows a clear process that helps accept or reject assumptions; data is collected and analyzed carefully, which reduces guesswork and supports evidence-based decisions. A hypothesis is an assumption or statement in research that is made before testing begins; it can be tested using data, predicts an outcome and must be clear and measurable (in machine learning it is written hθ(x) = y). Research questions define what is being studied and a hypothesis is formed from the research question. Hypothesis testing helps analyze data logically to check whether results are meaningful, avoids random conclusions and compares results with expectations.
⭐Key points
- Hypothesis = testable assumption made before testing.
- Research question → hypothesis.
- Testing gives evidence-based decisions.
🔬Diagram
🌿Real-life example
Question: Does study time affect exam scores? Hypothesis: more study time raises scores.
💡Exam tip
- MCQ 1: a hypothesis is a proposed explanation.
✅Quick check
1. A hypothesis is:
2. Hypotheses are formed from:
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