Projects

Presentation

Project 2: Linear Regression

Linear regression involves 2 variables that are linked. The variables can not be categorical (such as a person’s favorite color), but instead must be numeric and the numbers should be meaningful. There must be at least 10  possible values for each variable so size of a household might not be distributed widely enough (most values would be between 1 and 7). A good example would be arms_width_vs_height. The example has units in cm. Each variable has a sufficient variety of values. The same example done with inches might not have enough variety of values.  To do psychology studies, you may combine the outcomes from a variety of questions to get the requisite variety of values, e.g.,  the OCD survey in the “sample surveys”.

Project 1: Descriptive Statistics

ProjectInstructions_Descriptive

Proj_Descriptive_vA   (vA_data)   and  Proj_Descriptive_vB    (vB_data)

2 Responses to Projects

  1. Ezra Halleck says:

    I like the sample presentation because it is mostly to the point. I would have dumped the slides towards the end entitled “Statistical Analysis and Statistical Analysis (cont.), as they don’t provide much information. Instead, I would have just explained it verbally using the scatterplot. That would have left a total of 9 slides, perhaps too many for a 10 minute presentation, but perfect for a 15 minute presentation.

    One other nitpicking criticism or suggestion would be severely edit each slide to eliminate unnecessary articles and words. In some sense, the fewer words/ more concise the slide is the better.

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