Kinesiology 2032A/B Lecture Notes - Lecture 13: Statistical Inference, Parametric Statistics, Null Hypothesis
6 Mar 2017
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Research design in human movement sharon cheng 1. Today: foundations (descriptive & inferential statistics, sampling distribution, significance, effect size, Confidence intervals), errors, correlations, linear regression, understanding data and how it can be recorded and analyzed, which statistics is appropriate to use so you can critically appraise research. Tools and techniques for describing, organizing, and interpreting information. A language of statements about how characteristics of data can be applied: descriptive statistics. Organize and describe characteristics of a collection of data. Used to describe the sample the data was collected from. Used to make inferences from the collected data to a phenomenon/population. Typically used after data has been summarized. Eg. inferring treatment effect from an intervention. There were significant between a group differences for the main intervention effect. Differences are due to iv (independent variable) Basis for understanding the probability associated with any possible outcome.
