Watch
Announcements
#1
Hello everyone (:

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.

Sent from my iPhone
0
6 years ago
#2
Hi there,

While you're waiting for an answer, did you know we have 300,000 study resources that could answer your question in TSR's Learn together section?

We have everything from Teacher Marked Essays to Mindmaps and Quizzes to help you with your work. Take a look around.

If you're stuck on how to get started, try creating some resources. It's free to do and can help breakdown tough topics into manageable chunks. Get creating now.

Thanks!

Not sure what all of this is about? Head here to find out more.
0
#3
-bump-

Sent from my iPad using Tapatalk
0
X

new posts
Back
to top
Latest
My Feed

### Oops, nobody has postedin the last few hours.

Why not re-start the conversation?

see more

### See more of what you like onThe Student Room

You can personalise what you see on TSR. Tell us a little about yourself to get started.

### Poll

Join the discussion

#### Current uni students - are you thinking of dropping out of university?

Yes, I'm seriously considering dropping out (175)
14.57%
I'm not sure (56)
4.66%
No, I'm going to stick it out for now (350)
29.14%
I have already dropped out (35)
2.91%
I'm not a current university student (585)
48.71%