5 Questions
What is the main purpose of inferential statistics?
To make inferences about population parameters
Which category of inferential statistical tests includes t-test and One-Way ANOVA?
Parametric tests
Why are non-parametric tests important for applied linguistics research?
Because some data are not always strongly interval or continuous
What happens if the assumptions for inferential testing category are not met?
There is a heightened risk of making a false inference
2.5
2
This lecture covers the fundamentals of inferential statistics and hypothesis testing, exploring how these methods allow researchers to draw conclusions about population parameters based on sample data. The importance of generalizing findings to similar populations is also discussed.
Make Your Own Quizzes and Flashcards
Convert your notes into interactive study material.
Get started for free
