Biostatistics in Medicine : The "t" test
Dr. Apurva Tamhane
This article describes about the "t" test in Biostatistics. Read to know where does the t test come into use and also the significance of t test in sampling.
Sampling and Sampling test are needed to obtain statistical data and the "t" test is used when the sample size is small, usually the data given is less than 30.
The "t" test was first derived by W.S. Gosset in 1908 who had published the same under the name "student" from which it is known as the student's "t" test.
The pre-requisites to use the
test are :
1. The observations or data are independent of each other.
2. The population standard deviation is not known.
3. The distribution of population is of a normal type.
test are are follows:
test is used for testing the significance or importance of :
1. The mean of sample
2. To compare two samples and their mean values
3. Correlation coefficient.
test regarding single mean :
This is used to test the significance of difference between sample mean and population mean or whether the sample has been drawn from the population with mean in case of small sample (sample size "n" < 30).
Did you like this resource? Share it with your friends and show your love!
Responses to "Biostatistics in Medicine : The "t" test"
No responses found. Be the first to respond...
Notify me by email when others post comments to this article.
Do not include your name, "with regards" etc in the comment. Write detailed comment, relevant to the topic.
No HTML formatting and links to other web sites are allowed.
This is a strictly moderated site. Absolutely no spam allowed.
to fill automatically.
(Will not be published, but
to validate comment)
Type the numbers and letters shown on the left.
Subscribe to Email
Get Jobs by Email
Forum posts by Email
Articles by Email
Awards & Gifts
Last 7 Days
ISC Technologies, Kochi - India. © All Rights Reserved.
Click the "Follow" button above to follow Tony John