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 September 23rd, 2017, 08:46 AM #1 Newbie   Joined: Sep 2017 From: Romania Posts: 4 Thanks: 0 Added percentages Hi I have this problem: On a motorway, percents for vehicles at some hour are: Urban Cars 7% Rural Cars 6% Trucks 5% For Vehicles Percent I do this: 7+6+5=18 100+100+100=300 18/300=0.060*100=6.0% Now I want to have only Cars and Trucks 7+6=13 100+100=200 13/200=0.065*100=6.5% Cars 6.5% Trucks 5% New Total Vehicles Percent: 6.5+5=11.5 100+100=200 11.5/200=0.0575*100=5.75% What is wrong here? Why are not equale? Thanks for your help
September 23rd, 2017, 10:02 AM   #2
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Quote:
 Originally Posted by Carcalete On a motorway, percents for vehicles at some hour are: Urban Cars 7% Rural Cars 6% Trucks 5% For Vehicles Percent I do this: 7+6+5=18 100+100+100=300 18/300=0.060*100=6.0%
NO. Vehicle percent is simply 7+6+5 = 18%.
(wonder what makes the difference of 82%: bicycles?!)

Is this a classroom problem?

 September 23rd, 2017, 02:20 PM #3 Newbie   Joined: Sep 2017 From: Romania Posts: 4 Thanks: 0 No, I have a real problem with this, adding percent when you know only percent. First example was not very clear, I think. I made another. Three tanks of fuel, tank cappacity - fuel in tank - percent full. 300L - 150L - 50% 200L - 50L - 25% 100L - 50L - 50% ----------------------- 600L - 250L - 250/600~0.417 = 41.7% Is simple and clear. Now do this when you know only percent. With your solution: 50+25+50 = 125% and is not real.
September 23rd, 2017, 03:49 PM   #4
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Quote:
 Originally Posted by Carcalete Three tanks of fuel, tank cappacity - fuel in tank - percent full. 300L - 150L - 50% 200L - 50L - 25% 100L - 50L - 50% ----------------------- 600L - 250L - 250/600~0.417 = 41.7% Is simple and clear.
Yes, it is simple and clear...NOTHING like your 1st example.

BUT given only the 50%, 25% and 50% makes no sense:
the breakdown is NOT unique; this would fit:

2000L - 1000L - 50%
0004L - 0001L - 25%
0222L - 0111L - 50%
--------------------------
2226L - 1112L - 1112/2226 = ~49.955%

See your teacher to learn the basics of percentages.
This is not a classroom.

September 23rd, 2017, 05:54 PM   #5
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Quote:
 Originally Posted by Carcalete Hi I have this problem: On a motorway, percents for vehicles at some hour are: Urban Cars 7% Rural Cars 6% Trucks 5% For Vehicles Percent I do this: 7+6+5=18 100+100+100=300 18/300=0.060*100=6.0% Now I want to have only Cars and Trucks 7+6=13 100+100=200 13/200=0.065*100=6.5% Cars 6.5% Trucks 5% New Total Vehicles Percent: 6.5+5=11.5 100+100=200 11.5/200=0.0575*100=5.75% What is wrong here? Why are not equale? Thanks for your help
7/100 + 6/100 + 5/100 = 18/100 = 18%. So you've made some fundamental errors. Can you correct them?

Last edited by greg1313; September 23rd, 2017 at 09:01 PM.

 September 24th, 2017, 01:13 AM #6 Newbie   Joined: Sep 2017 From: Romania Posts: 4 Thanks: 0 For this problem I have only a graphic evolution in time, with percentages for categories, and nothing else. Non sens or not, ....., no comment. Anyway thanks for your help and kind advices. I try to find more, on my classroom .... back on '80. I'm sorry for waste your precious time Denis! Kind Regards!
September 24th, 2017, 05:37 AM   #7
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Quote:
 Originally Posted by Carcalete I'm sorry for waste your precious time Denis!
No problems...pleasure was indeed all mine

 September 27th, 2017, 05:13 AM #8 Newbie   Joined: Sep 2017 From: Romania Posts: 4 Thanks: 0 Eventually I used data normalization. It's not the most correct method, I think, but it gives a better picture of the data distribution. Thus, regardless of the method used in adding, the normalized result is the same, and can be compared to its normalized components. I tried for normalization the following methods: Scale between 0 and 1 En [If] (Max ([E]) = Min ([E]), 0.5, ([E] - Min ([E] Normalize by mean En = [E] / Avg ([E]) Normalize by mean with new interval En = [E] * Avg ([A]) / Avg ([E]) E - are the initial values A - are the new interval for values En - are the new normalized values Other normalization methods can be found here: https://docs.tibco.com/pub/spotfire/...ng_columns.htm For my situation, the best method was: Normalize by mean with new interval En = [E] * Avg ([A]) / Avg ([E]) Ex. AMin: 0.00% AAvg: 50.00% AMax: 100.00% No Trucks NTrucks DayTrucks NDayTrucks Cars NCars Total NTotal Total/3 NTotal/3 0 4.40% 52.25% 2.10% 24.88% 1.60% 19.32% 8.10% 32.21% 2.70% 32.21% 1 4.30% 51.06% 1.90% 22.51% 1.10% 13.28% 7.30% 29.03% 2.43% 29.03% 2 4.20% 49.88% 1.70% 20.14% 1.00% 12.07% 6.90% 27.44% 2.30% 27.44% 3 4.10% 48.69% 1.50% 17.77% 0.90% 10.87% 6.50% 25.85% 2.17% 25.85% 4 4.20% 49.88% 1.80% 21.32% 1.10% 13.28% 7.10% 28.24% 2.37% 28.24% 5 4.30% 51.06% 2.20% 26.06% 1.20% 14.49% 7.70% 30.62% 2.57% 30.62% 6 4.25% 50.47% 2.80% 33.17% 2.50% 30.18% 9.55% 37.98% 3.18% 37.98% 7 4.15% 49.28% 5.00% 59.23% 4.50% 54.33% 13.65% 54.28% 4.55% 54.28% 8 3.95% 46.91% 7.10% 84.11% 6.90% 83.30% 17.95% 71.38% 5.98% 71.38% 9 3.90% 46.31% 6.90% 81.74% 7.70% 92.96% 18.50% 73.57% 6.17% 73.57% 10 4.50% 53.44% 6.90% 81.74% 5.60% 67.61% 17.00% 67.61% 5.67% 67.61% 11 4.50% 53.44% 6.90% 81.74% 5.30% 63.98% 16.70% 66.41% 5.57% 66.41% 12 4.20% 49.88% 6.70% 79.37% 5.50% 66.40% 16.40% 65.22% 5.47% 65.22% 13 4.20% 49.88% 6.50% 77.00% 5.70% 68.81% 16.40% 65.22% 5.47% 65.22% 14 4.05% 48.10% 6.60% 78.18% 6.40% 77.26% 17.05% 67.80% 5.68% 67.80% 15 3.95% 46.91% 6.60% 78.18% 7.40% 89.34% 17.95% 71.38% 5.98% 71.38% 16 4.00% 47.50% 6.00% 71.08% 8.20% 98.99% 18.20% 72.38% 6.07% 72.38% 17 4.00% 47.50% 5.00% 59.23% 7.00% 84.51% 16.00% 63.63% 5.33% 63.63% 18 4.10% 48.69% 4.20% 49.75% 5.30% 63.98% 13.60% 54.08% 4.53% 54.08% 19 4.20% 49.88% 3.20% 37.91% 4.30% 51.91% 11.70% 46.53% 3.90% 46.53% 20 4.30% 51.06% 2.80% 33.17% 3.20% 38.63% 10.30% 40.96% 3.43% 40.96% 21 4.30% 51.06% 2.50% 29.62% 2.80% 33.80% 9.60% 38.18% 3.20% 38.18% 22 4.50% 53.44% 2.20% 26.06% 2.40% 28.97% 9.10% 36.19% 3.03% 36.19% 23 4.50% 53.44% 2.20% 26.06% 1.80% 21.73% 8.50% 33.80% 2.83% 33.80% Min 3.90% 46.31% 1.50% 17.77% 0.90% 10.87% 6.50% 25.85% 2.17% 25.85% Avg 4.21% 50.00% 4.22% 50.00% 4.14% 50.00% 12.57% 50.00% 4.19% 50.00% Max 4.50% 53.44% 7.10% 84.11% 8.20% 98.99% 18.50% 73.57% 6.17% 73.57% Have A Nice Day!

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