Primer of Biostatistics Term Paper Example | Topics and Well Written Essays - 2000 words

Primer of Biostatistics - Term Paper ExampleDuring data analysis, quite often, either of descriptive statistics or inferential statistics methodologies is employed. descriptive statistics (which unlike inferential statistics is not developed on the basis of probability theory) basically refers to the discipline of quantitatively describing the main features of a collection of data objet dart inferential statistics on the other hand denotes the process of arriving at conclusions from data open to random or sampling variations (such as observational errors) (Graham, pg.40). Statistics is a liberal field of study, probably one of the broadest disciplines available, with a plethora of applications too. The topic of Fields of Application of Statistics is a rich topic in itself and one that sparks a isthmus of interest both to scholars and professions globally. Some of the sub-topics herein include actuarial science, astro-statistics, business analytics, chemo-metrics, demography, econo metrics, environmental statistics, epidemiology, geo statistics, operations research, population ecology, statistical thermodynamics, and biostatistics and so on (Graham, pg.82). This paper deals with the biostatistics saying of statistics. Biostatistics, commonly referred to as biometry, is the use of statistics in a wide range of topics in biology. Biostatistics deals with the design of biological experiments (such as in medicine, agriculture, pharmacy, fishery, etc), the collection, summarization and analysis of stash away information from the experiments, followed by the interpretation of, and interference from, the results. Biostatistics is a combination of mathematics and reasoning, it considers how research questions argon generated, studies are designed, data are collected and results interpreted. If the samples one takes are representative of the population of interest, they will provide good estimates concerning the overall population (Hubert).