.Provide a list of variables used in the dataset and explain what each variable is in regard to the type of data and the level of measurement (qualitative variables, quantitative variables, discrete variables, continuous variables, nominal scale, ordinal scale, internval scale, ratio scale, etc)see Sections 1.1 and 1.2 in Chapter 1 of the textbook)
2.Provide a list of questions you are asking in relation to the data and summarize what you hope to learn from your analysis.
3.The analysis questions that you create should explore the descriptive characteristics of the dataset. Consult “A Roadmap for Selecting a Statistical Method” (page i. in your textbook), in particular the first row, “Describing a group or several groups.” Specifically, the questions should reveal:
a.The central tendencies of the data (i.e., mean, median, and mode)
b.How the data is distributed and how the data items vary (i.e., standard deviation, range, and variance)
c.The relationship, if any, between two numerical variables in the dataset (correlation analysis)
4.Submit your completed Variables and Analysis Questions Summary to your instructor by the end of the workshop
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