To calculate the standard error for a proportion, you can use the formula: [ SE = \sqrt{\frac{p(1 - p)}{n}} ] where (p) is the sample proportion and (n) is the sample size. If the proportion is not given in your question, you'll need to specify a value for (p) to compute the standard error. For a sample size of 25, substitute that value into the formula along with the specific proportion to find the standard error.
It is the value which represents the proportion as a part of 100.
To determine the value of x that makes the proportion true, you need to set up the equation based on the given proportion. For example, if the proportion is a/b = c/d, you can cross-multiply to get ad = bc. Then, solve for x by isolating it on one side of the equation. If you provide the specific proportion, I can help you find the value of x.
The answer depends on what proportion you want the expected value for.
A sparse matrix is one which normally contains a large proportion of elements whose value is 0. There is no exact proportion at which a matrix becomes sparse.
Direct Proportion-As one of the value increases,so does the other. Indirect Proportion-As one value increases,the other decreases. ~Hannah^^
It is the value which represents the proportion as a part of 100.
No. A proportion is the relationship of one part of something to the whole thing. If X is a fifth of Y, this must be a positive value.
To determine the value of x that makes the proportion true, you need to set up the equation based on the given proportion. For example, if the proportion is a/b = c/d, you can cross-multiply to get ad = bc. Then, solve for x by isolating it on one side of the equation. If you provide the specific proportion, I can help you find the value of x.
Yes.
1. Direct Proportion As one value increases, so does the other. 2. Indirect Proportion As one value increases, the other decreases. 3. Partitive Proportion A proportion describing the total amount being distributed into two or more unequal parts. Miwa D. Oguro
A half.
Ad Valorem
ad valorem
8/10
Depends what kind of proportion you want to make and for what, could be percentages or to figure out the missing value in a side of one figure similar to another, etc
The answer depends on what proportion you want the expected value for.