How to calculate false discovery rate in excel?

As an example, the following list of data shows a partial list of results from 25 tests with their p-values in column 2. The list of p-values was ordered (Step 1) and then ranked (Step 2) in column 3. Column 4 shows the calculation for the critical value with a false discovery rate of 25% (Step 3).

The bolded p-value (for Children) is the highest p-value that is also smaller than the critical value: .042 < .050. All values above it (i.e. those with lower p-values) are highlighted and considered significant, even if those p-values are lower than the critical values. For example, Obesity and Other Health are individually, not significant when you compare the result to the final column (e.g. .039 > .03). However, with the B-H correction, they are considered significant; in other words, you would reject the null hypothesis for those values.

b. take periodic breaks and alternate between tasks.  

will increase work efficiency, and avoid health issues.

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explanation:

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