I want to find the standard deviation of the percentages, but weighted for their data volume. ie, the first and last data points should dominate the calculation.

Aug 30, 2020 · The population standard deviation is relevant where the numbers that you have in hand are the entire population, and the sample standard deviation is relevant where the …

Aug 11, 2015 · One thing that's coming out odd though is my standardized residuals, I'm getting much different answers than Excel's regression routine, and I know it has to do with how I am …

Jan 31, 2023 · I'm not using R for now, could you add the formula to calculate mean and standard deviation in Excel, and reshare with me? Thank you.

Jul 23, 2020 · Can I exclude the outliers when calculating the mean value or standard deviation, as they largely affect both parameters? I am quite green when it comes to statistics, so I would …

0 There are better ways to estimate the standard deviation of the difference of two independent emperical datasets, when the probability distributions are unknown. You can use convolution, …

Mar 27, 2024 · Different distributions might have the same mean, median, quartiles and extreme deciles and yet have very different standard deviations, so you can't just calculate a standard …

Sep 6, 2023 · see below the answer by : Graipher allows calculating the standard deviation from the mean and the number of samples. The mean of this distribution is given by μ=np , where n …

Aug 17, 2016 · Obviously this means that your sample standard deviation is quite a poor estimator of the standard deviation parameter (biased and with high variance), but that is to be …

Given that it's an odds ratio, I'm assuming that it's log-normally distributed and that 7.1 is the mean, but what's the best way to convert the confidence interval to a standard deviation so I …