where \(Z\) is the value on the standard normal distribution, \(M\) is the sample mean, \(\mu\) is the hypothesized value of the mean, and \(\sigma _M\) is the standard error of the mean. where \(t\) ...where \(Z\) is the value on the standard normal distribution, \(M\) is the sample mean, \(\mu\) is the hypothesized value of the mean, and \(\sigma _M\) is the standard error of the mean. where \(t\) is the value we compute for the significance test, \(M\) is the sample mean, \(\mu\) is the hypothesized value of the population mean, and \(s_M\) is the estimated standard error of the mean.
where \(Z\) is the value on the standard normal distribution, \(M\) is the sample mean, \(\mu\) is the hypothesized value of the mean, and \(\sigma _M\) is the standard error of the mean. where \(t\) ...where \(Z\) is the value on the standard normal distribution, \(M\) is the sample mean, \(\mu\) is the hypothesized value of the mean, and \(\sigma _M\) is the standard error of the mean. where \(t\) is the value we compute for the significance test, \(M\) is the sample mean, \(\mu\) is the hypothesized value of the population mean, and \(s_M\) is the estimated standard error of the mean.
