HSS 2381 Chapter Notes - Chapter 11-12: Statistical Significance, Type I And Type Ii Errors, Standard Deviation
15 Dec 2016
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Hss2381 - quantitative methods in health sciences i. When we do research, we are looking for relations between variables. So far, we have considered univariate data that is, data where we have one or more independent variables (whose values we set) and one dependent variable (whose values we measure). Each person contributes data on only one dependent variable. For example, we can look at the effects of room colour and gender (independent variables) on pain ratings (dependent variable). The statistical tests we have considered t-test and anova are tests for univariate data. However, we can also collect data on two variables from each person. The classic example of this is height and weight. Suppose we draw a sample of 10 people from the population. Draw a sample of 10 people from the population. Data from the two univariate studies are shown below. Each one of these samples can be plotted as a univariate frequency distribution.
