12 янв. 2016 г. · The mean of a proportion is p, then the variance is p(1−p). The standard deviation is then the square root. This clearly shows what is meant ... |
20 окт. 2018 г. · Basically, you mixed up two variances together. In statistics, if you say "variance" alone, it has no meaning. You need to specify whose ... |
7 апр. 2018 г. · If we accept that there is some value for the variance (standard deviation) when we sample proportions, then we are saying there is some measure ... |
8 июн. 2017 г. · The standard error of a proportion will be the largest it can be for a given N when the proportion in question is p=0.5, and gets smaller the ... |
11 февр. 2023 г. · I am using the formula SD= √ (p(1−p)/n) , where p represents the sample proportion and n represents the sample size, to estimate a standard deviation for ... |
10 нояб. 2011 г. · To calculate the expected standard deviation, you are probably expected to use a binomial model and the formula √ p(1−p) n. |
21 янв. 2020 г. · This resource states that the standard deviation of the sampling distribution (the standard error) is equal to: \sqrt\frac{p(1-p)}{n} |
20 мая 2011 г. · The proportion does not have a standard deviation. Or more precisely, it does, but it is called the standard error. |
30 окт. 2011 г. · The exact distributions for the proportions is pi∼Bin(ni,πi)/ni, and the proportions can take on values pi=0,1ni,2ni,...,ni−1ni,1. |
29 июн. 2015 г. · The SE becomes √p(1−p)/n and its estimate from the sample is √ˉX(1−ˉX)/n. These are the familiar formulas, showing that the calculation for ... |
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