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Rehab Research
Chapter 21: Statistical Aalysis of Differences: The Basics
Question | Answer |
---|---|
What are the three most common distributions used for statistical tests? | t, F, and chi-squared distributions |
What are parametric tests? | based on specific assumptions about the distribution of populations; use sample statistics such as the mean, standard deviation, and variance to estimate differences between population parameters |
What are nonparametric tests? | use rank or frequency information to draw conclusions about differences between populations (parametric are often more powerful and preferred) |
What are the assumptions of parametric testing? | 1 participants are randomly selected from normally distributed populations, 2 populations variances of the groups being tested are equal, 3 measurement level of the data as interval or ratio |
When are data sets independent? | when values in one set tell nothing about values in another set |
When are data sets dependent? | when the sets of numbers consist of repeated measures on the same individuals |
What are the steps in the statistical testing of differences? | the ten steps, page 280-281 |