Calculate Weighted Average Of Prices For 12 Months

Jul 9, 2012

I wrote code that works just fine, however, I realized there were parts of the data I was using that had 0's in it for holiday.

Bottom line, this is code that calculated the weighted average of prices for 12 months (12 rows across) and Drows across. I'm trying to use the "do while is empty" approach but can't get the syntax to work. Here's the code

Code:
For r = 1 To drows
Totwavg = 0
Tothours = 0
priceavg = 0

For n = 1 To ncontracts

[Code] .....

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Calculate Weighted Average Sum Product

May 29, 2013

I am trying to calculate a weighted average and have used a sum product to do so. My problem is that the values decrease over time and I have done this in cells d13 and e13 and this seems to work ok. My problem is that I have many months so I don't want to use the formula this way as it will be very long. I tried to use sum and offset to try and effectively sum each row but this doesnt work.

Weighted Average

B
C
D
E
F
G

3
months

4
rate
original value
1
2
3
4

[Code] ...

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Nov 23, 2009

I have 3 sets of data for two different groups:

Group 1 - Inbound
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Group 2 - Outbound
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I need to calculate the weighted average of the win rate based on volume of calls. Is there any way to do that?

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Oct 14, 2009

I'm trying to make a formula that will calculate the average of the previous 12months. The goal is to tie the formula to a reference cell that contains a date. Each time the date is changed by a user the calculation will be updated accordingly. Here is the CSE formula that I thought would work:

{=AVERAGE(IF($B$5:$B$53=B$2,OFFSET($C$5,(COUNT(C5:$C$53)-1),0,12,1)))}

I've also attached a sample file to illustrate the problem. The 'range' portion ($C$5,(COUNT(C5:$C$53)-1)[/b]of the Offset function was setup simply to get the 12 months which preceeded the reference date.

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Aug 1, 2012

Is it possible with 1 formula and avoid to create 300+ individual formulas.

The background info: each day we check the prices of bananas, sometimes we check 2, 3 or 4 times in the same day, and sometimes the price that is checked is the same, but most of the time the price is diferent throughout the day.

We need to know the average dayly price for a particular day, while taking in consideration that some days we have 3 diff prices, and some others we only have 2 or even just 1 price that was checked and thats the price for that day.

we have the following spreadsheet

Column A = Dates
Dates when a price was checked, note here that there might be days of the year when in a single day the price is checked 2 or 3 times, and sometimes the price is different on the same day.

Column B = Price
The price checked on the date indicated in column A

Column C = Daily Avg Price Date
is just a date range from 08/1/11 to 07/31/12, a single day on each cell, that is intended to be the day reference for column D. C1 = 8/1/11, C2 = 8/2/11, C3= 8/3/11 and so on until 7/31/12

Column D = Daily Avg Price
In this column we need to show the average daily price calculated from the prices and dates in columns A and B.

For example: when C1 equals 8/1/11, then D1 has to equal the average price for the product, taking in consideration the amount of prices annotated for that day in column A, with the prices of Column B for that day and providing the average price.

I could have had an easy =Average formula but, since sometimes we have 3 or 2 or 4 equal or different prices in one single day in column A, I dont have a constant for the data range for excel to calculate an average.

My only current solution is to go on each cell on column D and writing the average formula selecting the range that would apply for that average price. But that is taking so much time, and i have multiple other products and year ranges and markets that require this same answer.

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Example: Widget comes in cases of 12 at $1.00 per case. If the customer orders 36 widgets, then the cost is 36 x $1.00.

If item A is ordered in quantities less than "12" than there is a 15% upcharge.
Example: Widget comes in cases of 12 at $1.00 per case. If the customer orders 4 widgets then the price is 4 x $1.15

But, if the customer orders 35. Then the first 24 are calculated at 24 x $1.00 and the remaining 11 are calculated at 11 x $1.15.

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Jul 25, 2007

I have a large dataset that includes information on the investment payout ratios of US companies over the period 2004-2006. I need to calculate the weighted average investment ratio for each company---see sample below

Microsoft Excel - example.xls ....

[HtmlMaker 2.42] To see the formula in the cells just click on the cells hyperlink or click the Name box
PLEASE DO NOT QUOTE THIS TABLE IMAGE ON SAME PAGE! OTHEWISE, ERROR OF JavaScript OCCUR.

The corresponding weight for each year must be as follows: 0.5 for 2006, 0.3 for 2005 and 0.2 for 2004. Then, for company A, the weighted average will be: (0.5*B2)+(0.3*C2)+(0.1*D2) = 7.8 (see cell E2)

The problem is that for some companies there are missing data for some years. For example, for company B, there are no data available for year 2004. In this case , the weights have to change to 0.6 for 2006 and 0.4 for 2005. Then, the weighted average investment for company B will be (0.6*B3)+(0.4*C3) = 16 (see cell E3). Similarly, in cases when there are data for only 1 year , the weight has to change to 1. Then, for company C the weighted average is 35 (see cell E4)

Is there any formula to give me the weighted average as it appears in column E without having to adjust it for each single case?

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Nov 10, 2009

I have a spreadsheet which basically looks like this

2, 5, 15, 20
2, 8, 12, 13
2, 7, 19, 46
F, 1, 10, 26
P, 1, 10, 39
P, 6, 22, 89
P, 7, 14, 46
P, 2, 11, 14
...

Column A is the key. If multiple rows have the same key, they're related.

The last column (DX on my spreadsheet) represents minutes participated, and is the weight variable. The middle columns are data that I'd like a weighted average for.

Here is the output I'm looking for given the above example:

2, 6.66, 16.83, 79
F, 1, 10, 26
P, 4.91, 16.73, 188

Column A remains the same, with one row for each key. The middle columns have their weighted average (where 6.66 = (5*20+8*13+7*46)/(20+13+46)), and the final column (DX) is the sum of minutes for all like keys.

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Nov 16, 2009

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Dell....................40000....................0.2%
Dell....................42200....................0.4%
Sharp.................303003..................0.1%
Microsoft.............312340..................0.04%
Dell....................3249321..................1%
Panasonic............300020...................2%

I need to find the weighted average of each manufacturers fault rate for just themselves, and also how the average of all the manufactueres would be if they weren't in it.

So for example for Dell I would need their weighted average of their three data entries and also then the weighted average of Sharp, Microsoft, Panasonic together.

I have been doing this by splitting the data into sections so for the example above I would do:

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Dell....................40000....................0.2%
Dell....................42200....................0.4%
Dell....................3249321..................1%
Panasonic............300020...................2%
Sharp.................303003..................0.1%
Microsoft.............312340..................0.04%

I would sum the Dell items, then sum the number of items excluding Dell then do two weighted average calculations giving me the ones that include then the ones that exclude Dell.

Then I would do...

Manufacturer.......Number of Items......Fault Rate
Sharp.................303003..................0.1%
Microsoft.............312340..................0.04%
Dell....................3249321..................1%
Dell....................40000....................0.2%
Dell....................42200....................0.4%
Panasonic............300020...................2%

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This example is with a very small data set so I'm sure you can see that this process is very time consuming, but I don't know any other way of doing it without splitting out the data first.

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[Code]...

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----------------------------------------------------------------------- -
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