STATS 250 Lecture Notes - Lecture 19: Dependent And Independent Variables, Standard Deviation, Confidence Interval
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STATS 250 Full Course Notes
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One random sample is taken and a variable is recorded for each individual, but then units are categorized as belonging to one population or another, e. g. male/female. Participants are randomly assigned to one of two treatment conditions, such as diet or exercise, and the same response variable, such as weight loss, is recorded for each individual unit. If the response variable is quantitative, a researcher might compare two independent groups by looking at the difference between the two means. Here is an example of an independent samples scenario from page 319 of your text. Maybe, maybe not it depends on a number of things (sample sizes, variability, randomly selected? etc) That is, we want to learn about the sampling distribution for. (a few)s. e. the population means the difference x values from the possible estimates, roughly, the average distance of the possible values result from considering all possible.
