The purpose of this assignment is to demonstrate that you can effectively use Excel to
create predictive formulae and nested IF statements, organize and process research data, present data
effectively in graphs and run inferential statistics (including p values).
You will need Microsoft Excel for this assignment. For the statistics, you will need the Analysis ToolPak add-in. This is free. For Windows, go to File > Options > Add-ins and select Analysis ToolPak. In the Manage window below, click “go”. This will then appear in the Data tab of Excel (right side). For MAC, Tools menu > Add-ins, then select Analysis ToolPak. Click to install if not already installed in already. You may need to quit and restart Excel for it to appear.
Predictive formulas. You will need to create 10 predictive (regression) formulas from existing research. These can be formulas for predicting Vo2 max, body fat, 1-RM and more. Each predictive formula should have the original research cited, and the original regression equation shown for comparison against your Excel formula (you must convert the written formula to a formula that works in Excel). Each formula should also have reliability/validity data (r or R coefficients) to go with it, where possible. Provide clear instructions for the user. Make it very clear what data must be entered to make the formula work, and which cell it should be entered in.
Nested IF formulas. You should use IF statements to convert number scores to qualitative feedback statements (e.g., norms) a minimum of 5 times. When IF statements are used, the reference data (in table form) must be provided. Male-female variations of the same formula still count as 1 IF formula. Include the normative data in the spreadsheet whenever you use it.
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