This study is a follow-up on a previous study. We present below a few more results concerning the size of the temperature rise with respect to pregnancy.
Among the numerous feedback we received, a few interesting issues were raised. I'd like to discuss it below.
Some readers, well trained in stats, noticed that the histograms departed from the normal distribution which can skew any test of hypothesis that would assume a normal distribution. One reader suggested to run a Kolmogorov-Smirnov test instead of the simple t-test that we ran. I just did that but unfortunately it was again not really conclusive (p value of 0.16).
Some readers pointed out that comparing temperatures may not be the best because everyone has a different metabolism. They suggested to compare the difference between pre-ovulation and post-ovulation temperatures instead. We ran a study to measure the temperature rise.
You'll find below histograms showing the rise for both pregnant and non pregnant charts (500 charts in each group).
Not Pregnant Temperature Rise
Standard Deviation: 0.1710
Pregnant Temperature Rise
Standard Deviation: 0.1733
We also ran a hypothesis test (Kolmogorov-Smirnov and t-test) to find out if there is a statistical significance to the difference. We did not find anything conclusive.
The main point that these two studies reveals is that there is no real information about the chance of pregnancy in either the raw value of early post-ovulation temperatures or even in the size of the temperature rise. This is quite important for those who may be worried about these aspects of their charts. Some readers suggested to look at temperature further along in the cycle. We expect that we would probably would find a significant difference because of the embryo implantation (check also the [url=http://www.fertilityfriend.com/Faqs/Triphasic-Pattern-and-Pregnancy.html]triphasic pattern study[/url] we ran previously). Other readers suggested that we may want to look at the difference between pregnant cycles and not pregnant cycles for a given individual. We will certainly look at this in later studies. Stay tuned.
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