Q about hypothesis testingWatch
I've got a quick question regarding hypothesis testing and my hoping someone can help me w/ it...
For converting the raw score [the test statistic val. (the sample mean), T, specified in H1] to the Z score (Z, the obtained val.), do we use the usual formula i.e., Z = (T - mu)/SD where nu is the population mean and T is the sample mean (i.e., val. of the test statistic) OR the formula for calculating 'Z statistic' : Z = (T - mu)/'standard error of the mean' where T is the val. of the test statistic (i.e, the sample mean), mu is the population mean and standard error of the mean = SD/root of n where n is the no. of observations?
I know this is not going to be easy to understand and I should have used LateX. I'm not able to use LaTeX right now and if at all it's really difficult to understand, I will re write this using LaTeX ASAP. Apologies for the inconvenience and thank you for the help.
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