PNB 3RM3 Lecture Notes - Lecture 29: Statistical Hypothesis Testing, Descriptive Statistics
6 Oct 2020
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Document Summary
Going to talk about theoretical statistical formulas. How the equations give us information that we require: we will not be doing specific calculation. Talk about formulas generally and how they relate to graphs. Descriptive stats: describe the data set: do not use to infer things about the larger population, simply describe the characteristics of the data. Can transfer these to inferential but by themselves they are descriptive. Examples of descriptive stats: counting, tallying, summarizing, correlations, can apply null hypothesis testing to it (makes it non-descriptive though) You can transform them by applying null hypothesis testing. Simplest: frequency tables: display the distribution of a variable. Distribution: the way the scores on a variable are distributed across the levels of that variable. Frequency table: a table for displaying the distribution of a variable. Simplest form of this are frequency tables. Frequency table: shows distribution of scores of a variable. Left column: variable can include for example range of reaction times .
