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Chapter 7 — Chapter 7 — Hypothesis Testing

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Introduction to Hypothesis Testing

Source: CS 12, Ch 7, 7.1

📘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

From question to decisionResearch questionHypothesisCollect dataTestDecision

🌿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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