Calculate the standard error of the mean for a sample size of 49. Example: Assume the population standard deviation is 36. It would not only provide the standard error and the t-statistic, but also allow me to export the results to LaTex. The Standard Error Calculator uses the following formula: SE x s / sqrt( n ) Where: SE x is the standard error of the mean, s is the standard deviation of the sample, sqrt is the square root, n is the sample size. begingroup How would the regression output change if you were, say, to add 106 to each pop value and add -0.0116584times 106 to each fuel value Intuitively, that shifts the data far from pop1029 without altering the regression line and therefore should result in a much wider prediction interval.
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As such, ideally I would like to run a 2sls with covariates and get the same coefficient as I would using method one, but don't know how to code it. I wrote to the writter of the fuzzydid command who informed me that their command includes the covariates more flexibly, allowing to vary over time and between groups as opposed to the linear regression with covariates where the coefficients are the same for both groups and time periods. However, when including covariates, the two methods differ.
When using method 1 and 3, I get the same coefficients, with method 3 providing me with the standard error and t-statistics (though there are not included in the ereturn list, so I am still struggling to export them). Code: fuzzydid service_satisfaction dist_intervention1 survey_year property_demand, did****
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