The mean proportion between two numbers, ( a ) and ( b ), is calculated using the formula ( \sqrt{a \times b} ). For 5 and 15, this would be ( \sqrt{5 \times 15} = \sqrt{75} ). Simplifying ( \sqrt{75} ), we get ( 5\sqrt{3} ), which is approximately 8.66. Thus, the mean proportion between 5 and 15 is ( 5\sqrt{3} ).
If you mean between 1/5 and 2/5 then the fraction is 3/10
10 4, 15 6, just multiply it by a number
5/9=x/27 135=9x 15=x
15 + 5 =20 so its 5
-2
This type of sum is continuous proportion 5 and 45 are a and c formula:b=√ac √5*45=√225=15. So the mean proportional is 15.
If you mean between 1/5 and 2/5 then the fraction is 3/10
10 4, 15 6, just multiply it by a number
Geometric mean of 5 and 15= √(5x15)=√75=5√3
According to the theory behind a sampling distribution of a proportion, when you take a sample proportion with mean p from a sample of n people, the actual population proportion will follow a normal distribution of mean p with a standard deviation of √(p*(1-p)/n). Using the information given, our sample had a mean, p, of .5 and a sample size, n, of 500. Therefore, the mean of the population is .5 and the standard deviation is √(.5*(1-.5)/500)=.022361. Next, in order to find our probability, we need to calculate the z-scores of our 2 bounds using the formula z=(x-mean)/standard deviation. For .45 this gives (.45-.5)/.022361=-2.236 and for .55 we get (.55-.5)/.022361=2.236. In order to convert this into a probability, we will need to look these values up in a z-table and find the area between them. Doing that we find that the area must be .974653. This tells us that the probability that the population proportion is between 0.45 and 0.55 is 97.4653%.
"Is to" usually indicates a ratio or a proportion. 5 is to 10 as 9 is to 18.
5/9=x/27 135=9x 15=x
-5
If you mean 2/5 of 15 then it is 6
15 + 5 =20 so its 5
-2
3/5 and 4/5 are 9/15 and 12/15 therefore 10/15 (same as 2/3) and 11/15 are between