Date: Tue, 7 Jun 2005 12:47:59 -0500
Reply-To: "Swank, Paul R" <Paul.R.Swank@UTH.TMC.EDU>
Sender: "SAS(r) Discussion" <SAS-L@LISTSERV.UGA.EDU>
From: "Swank, Paul R" <Paul.R.Swank@UTH.TMC.EDU>
Subject: Re: A stat question
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And what did the distribution for all these variables look like and what
was the sample size? I would expect such variables to be positively
skewed since there is an obvious floor (0) but no apparent ceiling.
Therefore, the variability in total sales is likely to be quite large.
Your sample size might be large enough to overcome the potential
distributional problems but if the groups differed in sample size and
variance, this could e a problem. Perhaps we need to see the sample
sizes and standard deviations in addition to the means.
Paul R. Swank, Ph.D.
Professor, Developmental Pediatrics
Medical School
UT Health Science Center at Houston
-----Original Message-----
From: Lu Liu [mailto:Lu.Liu@talbots.com]
Sent: Tuesday, June 07, 2005 11:15 AM
To: Swank, Paul R; SAS-L@LISTSERV.UGA.EDU
Subject: RE: A stat question
Hi Dr. Swank,
Thank you for your reply. I did have a dataset with all the customers
from both groups and each of their orders, sales and average order size.
I ran t-test on that dataset to see whether 2 groups' order, AOS and
sales are significantly different. And p-value shows that group A's
order is significantly different group B, but AOS and sales are not.
Lu
-----Original Message-----
From: Swank, Paul R [mailto:Paul.R.Swank@uth.tmc.edu]
Sent: Tuesday, June 07, 2005 12:06 PM
To: Lu Liu; SAS-L@LISTSERV.UGA.EDU
Subject: RE: A stat question
How did you do a t test on total sales when there are only two values,
one for each group?
Paul R. Swank, Ph.D.
Professor, Developmental Pediatrics
Medical School
UT Health Science Center at Houston
-----Original Message-----
From: SAS(r) Discussion [mailto:SAS-L@LISTSERV.UGA.EDU] On Behalf Of Lu
Liu
Sent: Tuesday, June 07, 2005 9:54 AM
To: SAS-L@LISTSERV.UGA.EDU
Subject: A stat question
I have a stats rather than SAS question, but I think many SAS experts
can help on this. Thank you very much in advance. We did an A/B test
to test effectiveness of 2 e-mail creatives. The results are below:
Group Order AOS Sales
A 62 $243 $15,000
B 92 $239 $22,000
* AOS stands for average order size
** Sales = AOS x Order
After I applied t-test, it shows that Group B placed significantly more
orders than Group B, but the average order size (total sales divided by
total orders) and total sales are not significantly different. I have 2
questions,
1) Is the total sales not significantly different because average order
size between the 2 groups is not significantly different?
2) Is it correct to conclude that group B has generated (92 - 62) * $239
= $ 7,170 incremental sales since Group B's total orders are
significantly different from Group A?
Your help is greatly appreciated.
Thank you,
Lu
