This is best Fabric, Power BI, SQL and AI community event. How do we know? The last event sold out! Save €200 with code FABCMTY200.
Register nowA new Data Days event is coming soon! This time we’re going bigger than ever. Fabric, Power BI, SQL, AI and more. Don't miss out.
Hi, I need to calculate this table data with the formula. This is the formula and table. K is a number of platforms. Initial Estimate Mean(𝜃^) = 98.93455. I will use the value failure rate from TEP-A and TEP-B then need to minus Initial Estimate Mean(𝜃^).
Formula = Σ((n/τ)-𝜃^)^2 /(k-1)
Platform(k) Total Failures(n) Service Time(τ) Failure Rate
TEP-A 7 0.07884 88.78
TEP-B 6 0.05256 114.15
Total 13 0.1314 98.93
Solved! Go to Solution.
@Anonymous
Measure =
VAR estimateMean_ = 98.93455
VAR K_ =
DISTINCTCOUNT ( Table1[Platform(k)] )
RETURN
SUMX (
Table1,
POWER (
( ( Table1[Total Failures(n)] / Table1[Service Time(τ)] ) - estimateMean_ ),
2
) / ( K_ - 1 )
)
Please mark the question solved when done and consider giving a thumbs up if posts are helpful.
Contact me privately for support with any larger-scale BI needs, tutoring, etc.
Cheers
@Anonymous
Measure =
VAR estimateMean_ = 98.93455
VAR K_ =
DISTINCTCOUNT ( Table1[Platform(k)] )
RETURN
SUMX (
Table1,
POWER (
( ( Table1[Total Failures(n)] / Table1[Service Time(τ)] ) - estimateMean_ ),
2
) / ( K_ - 1 )
)
Please mark the question solved when done and consider giving a thumbs up if posts are helpful.
Contact me privately for support with any larger-scale BI needs, tutoring, etc.
Cheers
Hi @Anonymous
Not clear. What is the Σ indexing over?
Please show the expected result, explaining the steps in the formula.
Please mark the question solved when done and consider giving a thumbs up if posts are helpful.
Contact me privately for support with any larger-scale BI needs, tutoring, etc.
Cheers
Check out the May 2026 Power BI update to learn about new features.
Sign up to receive a private message when registration opens and key events begin.
If you have recently started exploring Fabric, we'd love to hear how it's going. Your feedback can help with product improvements.