Open AccessBasic biostatistics for post-graduate students
Author(s) -
Ganesh N. Dakhale,
Sachin K. Hiware,
Abhijit T Shinde,
Mohini S. Mahatme
Publication year - 2012
Publication title -
indian journal of pharmacology/the indian journal of pharmacology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.286
H-Index - 59
eISSN - 1998-3751
pISSN - 0253-7613
DOI - 10.4103/0253-7613.99297
Subject(s) - biostatistics , null hypothesis , statistical hypothesis testing , sample size determination , computer science , sample (material) , mathematics education , test (biology) , graduate students , statistics , statistical analysis , focus (optics) , data science , econometrics , data mining , mathematics , medical education , medicine , physics , nursing , chromatography , optics , biology , public health , paleontology , chemistry
Statistical methods are important to draw valid conclusions from the obtained data. This article provides background information related to fundamental methods and techniques in biostatistics for the use of postgraduate students. Main focus is given to types of data, measurement of central variations and basic tests, which are useful for analysis of different types of observations. Few parameters like normal distribution, calculation of sample size, level of significance, null hypothesis, indices of variability, and different test are explained in detail by giving suitable examples. Using these guidelines, we are confident enough that postgraduate students will be able to classify distribution of data along with application of proper test. Information is also given regarding various free software programs and websites useful for calculations of statistics. Thus, postgraduate students will be benefitted in both ways whether they opt for academics or for industry.