Re: Statistical test



On 17 Aug 2006 04:53:28 -0700, "Ahmad_hawi" <ahmad.hawi@xxxxxxxxx>
wrote:

Hi I'm just lost which test or method I use in my study.

The study is divided between two groups, which they treated by
different treatment each group also divided to 26 elements. For each
element the level for injection is measured (from 0 to 7 mm)

The "level of injection" seems to be an outcome variable,
which has been presented rather oddly as graphs of a sort.
If that's not what you intended, please try again.


My question is which test I will use to know if there is a significant
difference between the groups.

Any help it will be very appreciate
groupe one:

-----------------------------------------------------------------------------------------------------------------
The level for injection in mm
-------------------------------------------------------------------------------------------------------------------
Num 1 2 3 4 5 6 7
--------------------------------------------------------------------------------------------------------------------
1 0 0 0 0 0 0 0
2 0 0 0 0 0 0 0
3 0 0 0 0 0 0 0
4 0 0 0 0 0 0 0
5 0 0 0 0 0 0 0
6 0 0 0 0 0 0 0
7 0 0 0 0 0 0 0
8 0 0 0 0 0 0 0
9 0 0 0 0 0 0 0
10 0 0 0 0 0 0 0
11 0 0 0 0 0 0 0
12 0 0 0 0 0 0 0
13 0 0 0 0 0 0 0
14 0 0 0 0 0 0 0
15 0 0 0 0 0 0 0
16 0 0 0 0 0 0 0
17 0 0 0 0 0 0 0
18 0 0 0 0 0 0 0
19 0 0 0 0 0 0 0
20 0 0 0 0 0 0 0
21 0 0 0 0 0 0 0
22 0 0 0 0 0 0 0
23 0 0 0 0 0 0 0
24 0 0 0 0 0 0 0
25 1 1 1 1 0 0 0
26 1 1 1 1 0 0 0

If I interpret this right:
Responses: 24 at 0, 2 at 4.

And for group 2, summarized similarly,
responses are 16 at 0, 8 at 1, and 2 at 2.

[snip, group 2 detail.]

I'm ready for any Clarification
I will Apreciate your Help!!!!!

Group 1 has the only responses above 2 (at 4).
Are those important? Are they more important than
a larger number of responses at the level of 1?

If "non-zero" is a reasonable way to assess
these numbers, then group 1 has 24+2 cases
and group 2 has 16+10 cases. You could look
at the chisquared test for the 2x2 contingency table.

24 2
16 10


--
Rich Ulrich, wpilib@xxxxxxxx
http://www.pitt.edu/~wpilib/index.html
.



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