In other words, regardless of what scale the original data are on, the z-statistic iteself always has the same interpretation: it’s equal to the number of standard errors that separate the observed sa...In other words, regardless of what scale the original data are on, the z-statistic iteself always has the same interpretation: it’s equal to the number of standard errors that separate the observed sample meanˉX from the population mean μ 0 predicted by the null hypothesis.
In other words, regardless of what scale the original data are on, the z-statistic itself always has the same interpretation: it’s equal to the number of standard errors that separate the observed sam...In other words, regardless of what scale the original data are on, the z-statistic itself always has the same interpretation: it’s equal to the number of standard errors that separate the observed sample meanˉX from the population mean μ 0 predicted by the null hypothesis.
