Dear Colleagues,
I've the following data table:
Group Case Variable 1 Variable 2 Variable 3 ... Group A C0001 545646 56465456 3 ... Group A C0002 878946 5645465456 13 ... Group A C0003 456456 2123 321231 ... Group B C0004 545646 131321 54564 ... Group B C0005 5656 1311 564 ... ... ... ... ... ... ...
I need to make the following statements about each case:
- Given case is statistically significantly higher than average
- Given case is statistically significantly lower than average
- Given case is not statistically significantly different from the average
I have to merge the statements in one table that will be dynamically colour coded depending on the selected group. I have defined a number of dynamic offset formulas:
- case_value - returns value for each case from the table depending on case number and variable number
- group_values - return the values for the whole (Group A, B, etc.) depending on the selected variable
- variable_value - returns the variable values for whole column depending on the selected variables
What I presently need is to develop a formula that will take value 1 for cases that are statistically significantly higher than average, 2 for cases that are statistically significantly lower than average and 0 for cases that are not not statistically significantly different from the average. I have no problem with devising additional lookup and offsets formulas that will pull required strings of data from the data table. What I would like to know is how I get from numerical data to underlined logic formula that will return the value depending on the characteristics of statistical significance. I came across this helpful page, but unfortunately, it's not enough for me. Needles to say, I will appreciate any help!
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