A simple, defensible outlier rule built from AVERAGE and STDEV.
Before averaging these meter readings you want to flag anything unusual. In C2:C10 show Check for any reading more than two standard deviations from the mean of B2:B10, and Normal for the rest.
Solve it on your own to keep the bonus. Each hint gets one step closer to the formula.
The same formula in the other shapes it takes at work.
The same spread as VAR, back in units you can read.
STDEV divided by AVERAGE lets you compare things measured on different scales.
A simple, defensible outlier rule built from AVERAGE and STDEV.
This is the grid you start with. Cell references in the task — B6, C2 — point at the row numbers and column letters below.
| A | B | C | |
|---|---|---|---|
| 1 | Reading | kWh | Flag |
| 2 | R1 | 52 | |
| 3 | R2 | 49 | |
| 4 | R3 | 55 | |
| 5 | R4 | 51 | |
| 6 | R5 | 120 | |
| 7 | R6 | 48 | |
| 8 | R7 | 53 | |
| 9 | R8 | 50 | |
| 10 | R9 | 54 |
Two standard deviations is a common, explainable cut-off: in roughly normal data only about 1 reading in 20 falls outside it. R5 at 120 is far outside, and it also inflates the mean and standard deviation it is measured against — which is why outliers are flagged before the summary statistics are reported, not after.