In: Math
I have a ratio that in total doesn't equal to 100%, how would you explain the reason for that? The data is of 13 people. I have data Male 8 people= 61.54%, Female 5 people = 38.36%;//// Unemployed 6 people=46.15%, Food industry 3 people 23.08%;//// British 2 people=15.38%, Chinese 5 people 38.46%, Hispanic 3 people=23.08%////Agnostic 5 people=38.46%, Christian 5 people=38.46%. When you add each section those equal to 100%. But when I have England 2 people=15.38%, USA 2 people=15.38%, China 5 people 38.46% I'm off by 0.01%. 15.38+15.38+38.46=69.22; so 100-69.22=30.78. The 4 people out of 13 people would equal 30.77. So I'm off 0.01%.
I have a ratio that in total doesn't equal to 100%, how would you explain the reason for that? The data is of 13 people. I have data Male 8 people= 61.54%, Female 5 people = 38.36%;//// Unemployed 6 people=46.15%, Food industry 3 people 23.08%;//// British 2 people=15.38%, Chinese 5 people 38.46%, Hispanic 3 people=23.08%////Agnostic 5 people=38.46%, Christian 5 people=38.46%. When you add each section those equal to 100%.
But when I have England 2 people=15.38%, USA 2 people=15.38%, China 5 people 38.46% I'm off by 0.01%. 15.38+15.38+38.46=69.22; so 100-69.22=30.78. The 4 people out of 13 people would equal 30.77. So I'm off 0.01%.
That is due to round off at 2 decimal places.
If we take three decimals, we are off by 0.001% and four decimals, we are off by 0.0001%
The below table shows upto 5
decimals.
n |
percentage at 2 decimals |
3 decimals |
4 decimals |
5 decimals |
|
England |
2 |
15.38 |
15.385 |
15.3846 |
15.38462 |
USA |
2 |
15.38 |
15.385 |
15.3846 |
15.38462 |
China |
5 |
38.46 |
38.462 |
38.4615 |
38.46154 |
Others |
4 |
30.77 |
30.769 |
30.7692 |
30.76923 |
Total |
13 |
99.99 |
100.001 |
99.9999 |
100.00001 |