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Operationally defining variables is essential for analyzing data. This is one of the FIRST STEPS in defining a study. Refer to the WISCONSIN COVID CASE

Operationally defining variables is essential for analyzing data. This is one of the FIRST STEPS in defining a study. Refer to the WISCONSIN COVID CASE data [WI COV CS DTH VAX NO VAX] data set. There are numerous pdf and video resources which you should consult and reference.

Answer the Qs below. Copy and paste sections/tables from each report to support or illustrate your ideas. Exercise parsimony and use a business memo style.

1. Explain in a few sentences what it means to operationalize variables.

2. Create a 7x8 (seven by eight) table. Include this table in your paper. Which VARS are in the ROWS (Y axis) and which VARS are in the COLS (X axis)?

3. Operationally define each of the variables on the X axis and the Y axis.

4. [ NEW Q - ELECTIVE IF YOU WANT TO GIVE IT A TRY]. I count THREE QUAL VARS in the table. Identify which ones they are. Explain why they are QUAL and not QUANT.

5. [NEW Q5 - ALSO ELECTIVE.] How many total WI residents were fully vaxxed in July? The WI population in Feb 2021 was 5.9 million (google search). HINT - you must covert the "fully vaxxed" rate per 100,000 to the RAW count for the state population.

References!

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