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    • Question

      What is 'hypothesis

      testing'?
      A Testing whether a machine learning hypothesis improves model accuracy Correct Answer Incorrect Answer
      B A statistical method to make decisions about population parameters based on sample data Correct Answer Incorrect Answer
      C Testing different software versions for performance differences Correct Answer Incorrect Answer
      D A method for validating data quality in a dataset before analysis Correct Answer Incorrect Answer
      E The probability that the research hypothesis (H₁) is true Correct Answer Incorrect Answer

      Solution

      Steps of Hypothesis Testing:  1) State H₀ (null hypothesis — no effect) and H₁ (alternative).  2) Choose significance level α (typically 0.05).  3) Calculate test statistic (t, z, chi-square, F).  4) Calculate p-value.  5) If p < α, reject H₀ (statistically significant result). A p-value of 0.03 means: if H₀ were true, there's only a 3% chance of seeing data this extreme — unlikely enough to reject H₀. 

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