Research Methodology
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Topic 3.5 of Data Collection and Analysis Methods
Null and alternative hypotheses, significance level and p-value, Type I and Type II error, and why a test can reject a hypothesis but can never prove it true.
By the end of this topic, you will
Quadrant 1 · e-Tutorial
EZ Bytes · quick recaps
Your Test Proved Nothing | Hypothesis Testing Every Security Researcher Gets Wrong
86s
Video lessons
Quadrant 2 · e-Content
Quadrant 3 · Web Resources
Quadrant 4 · Self-Assessment
Data Collection and Analysis Methods
Twenty questions on primary vs secondary data, instrument validity and reliability, sampling techniques, hypothesis testing, scales of measurement, and statistical test selection.
Research Methodology: Complete Assessment
Comprehensive 100-question assessment covering all five chapters of the Research Methodology eBook 2026.
Quadrant 5 · Play
Ungraded practice for Hypothesis Formulation and Testing: games and hands-on Skill Labs that use this topic, plus the crossword for Data Collection and Analysis Methods. It never affects your unit assessment, and clearing a game or lab for the first time earns EZ Board points when you are signed in.
Lab
The Penguin Paradox: Real Data, Real Statistics
15 tasks from this unit. Free to play. Earn 30 EZ Board points on your first clear.
Crossword
Data Collection and Analysis Methods
10 key terms from this unit. Free to play.
Memory
Research Terms Memory
6 pairs from this unit. Free to play. Earn 30 EZ Board points on your first clear.
Race
Data Drive
6 checkpoints from this unit. Free to play. Earn 30 EZ Board points on your first clear.
Discussion · 0 comments
This is the discussion thread for the lesson "Hypothesis Formulation and Testing" (Research Methodology, Unit 3). Ask questions, share real-world examples, and help classmates who are stuck. Conversation starters. Try explaining one of these in your own words: - State the null and alternative hypothesis for a given research question - Explain the difference between failing to reject a null hypothesis and confirming it - Explain the Type I / Type II error tradeoff and connect it to tuning a detection threshold
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