Inferential Statistics and Hypothesis Testing Lecture
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Questions and Answers

What is the main purpose of inferential statistics?

  • To gather data from all members of the population
  • To make inferences about population parameters (correct)
  • To generalize findings to the entire population
  • To describe the raw data

Which category of inferential statistical tests includes t-test and One-Way ANOVA?

  • Correlative tests
  • Parametric tests (correct)
  • Descriptive tests
  • Non-parametric tests

Why are non-parametric tests important for applied linguistics research?

  • Because they are more accurate
  • Because they are easier to apply
  • Because some data are not always strongly interval or continuous (correct)
  • Because they are always interval or continuous

What happens if the assumptions for inferential testing category are not met?

<p>There is a heightened risk of making a false inference (B)</p> Signup and view all the answers

2.5

<p>2 (C)</p> Signup and view all the answers

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