PowerPivot formula for row wise weighted average

Hi everybody,
I have a table in `PowerPivot` which contains the logged data of a traffic control camera mounted on a road. This table is filled the velocity and the number of vehicles that pass this camera during a specific time(e.g. 14:10 - 15:25). Now I want to know
that how can I get the average velocity of cars for an specific hour and list them in a separate table with 24 rows(hour 0 - 23) where the second column of each row is the weighted average velocity of that hour? A sample of my stat_table data is given below:
count   vel          hour
133    96.00237   15
117    91.45705   21
81      81.90521   6
2       84.29946   21
4       77.7841      18
1       140.8766   17
2       56.14951   14
6       71.72839   13
4       64.14309   9
1       60.949       17
1       77.00728   21
133    100.3956   6
109    100.8567   15
54      86.6369      9
1       83.96901   17
10      114.6556   21
6       85.39127   18
1       76.77993   15
3       113.3561   2
3       94.48055   2
In a separate `PowerPivot` table I have 24 rows and 2 columns(column1 is for hours and column 2 for weighted averages) and when I enter my formula, the whole rows get updated with the same number. My formula is:
=sumX(FILTER(stat_table, stat_table[hour]=[hour]), stat_table[count] * stat_table[vel])/sumX(FILTER(stat_table, stat_table[hour]=[hour]), stat_table[count])
I have also asked this question at
Stackoverflow.

Hi Reza,
According to your description, you need to calculated the average value of Vel group on Count and Hour, right?
I have tested it on my local environment, the sample expression below is for you reference.
=CALCULATE(sum(Sample[Vel]),ALLEXCEPT(Sample,Sample[Count],Sample[Hour]))
If this is not what you want, please elaborate the issue, so that we can make further analysis.
Regards,
Charlie Liao
TechNet Community Support
Thank you,
Yes it works. But I decided to use a 'measure' rather than a calculated column. My measure's formula is:
=SUMX(stat_table, [vel] * [count]) / SUMX(stat_table, [count])

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