How to calculate standard error of the estimate

It gives an idea about the amount of data in a given data set that is dispersed from the mean. standard error of the mean an indication of how well a sample mean estimates the. I am looking for a way to calculate p values from estimates and standard errors in unix. Now you have everything to do a meta-analysis. So, it follows that S E l o g ( O R) / z, which yields S E 0.071 for the first and S E. Home Click this link only if you did not arrive here via the VassarStats main page. Standard deviation is a measurement of dispersion in statistics. These z-values are actually the test statistics calculated by taking the log of the odds ratios divided by the corresponding standard errors (i.e., z l o g ( O R) / S E ). Asking for help, clarification, or responding to other answers. To calculate the standard error of any particular sampling distribution of sample- mean differences, enter the mean and standard deviation (sd) of the source population, along with the values of n a andВ n b, and then click the 'Calculate' button.Дistribution standard error of sample-mean differences = В± sd of source Thanks for contributing an answer to Mathematics Stack Exchange Please be sure to answer the question.Provide details and share your research But avoid.

Where sd 2 = the variance of the source population (i.e., the square of the standard deviation) The difference between the means of two samples, A andВ B, both randomly drawn from the same normally distributed source population, belongs to a normally distributed sampling distribution whose overall mean is equal to zero and whose standard deviation ('standard error') is equal to square.root The logic and computational details of this

How to calculate standard error of the estimate