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This text book is a comprehensive user friendly and easy to read introduction to biostatistics and research methodology meant for undergraduate and postgraduate medical students and allied biomedical sciences (Dental, Nursing, Psychology, Nutrition, MSc and PhD students). Succinct yet thorough, it serves as an outstanding resource for students and health researchers for writing protocol for research projects as well as allows readers to acquire ability to apply appropriate statistical methods to summarize, analyze, and draw conclusions from biological research including data presentation methods. Unique features of the book (2nd Edition): Emphasis on key concepts of data presentation, scales of measurement, measures of central tendency and dispersion, normal distribution, sample size calculation and sampling techniques, probability, sampling variability, null hypothesis, and details on tests of significance, written in lucid language. Numerous examples illustrate the application of each statistical method and further exemplified with tables and diagrams where necessary. Complicated statistical issues such as correlation and regression with their interpretations are dealt with in simplified manner. Theory questions from different university examinations across India at the end of each chapter. Collection of Multiple Choice Questions from different post graduate entrance examinations at the end of each chapter with explanation of the answers. Basic information about writing a research protocol. Useful tool to write the thesis of postgraduate students, project of undergraduate students and other research reports. Some useful tips on publication of research work in journals.
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Statistical methods shows entire procedure by which entire behavior of a population are observed in a representing sample from particular population. In wide and singular sense statistics refer to statistical methods. Generally scientists are not following Abstract censuses of populations, they preferred it as sampling. Increased demand in statistics and decreasing cost of statistics are main responsible factors for development of statistics .statistical methods are grouped under two heads statistics as a data, statistics as a Methods. Main originating source of statistics are Government records and Mathematic Therefore sampling and statistical inference are considered essential for required achievement. Making mistake in analytical works used in statistical methods is unavoidable. a important aspect of quality control is detection of random and systematic error . Care should be taken for ERROR, ACCURACY, PRECISION and BIAS in statistical results General principles for the planning of experiments and data visualization. Choice of standard statistical models and methods of statistical inference. (Binomial, Poisson, normal).Application of these models to confidence interval, estimation and parametric hypothesis testing including two-sample situations, the purpose is to compare two (or more) populations with methods using many randomly computer-generated samples are finally introduced for estimating characteristics of a distribution and for statistical respect to their means or variances. (2) Non-parametric inference tests are also described in cases where the data sample distribution is not compatible with standard parametric distributions. (3) Re sampling inference. The following section deals with methods for processing multivariate data. Methods for Dealing with clinical trials are also briefly reviewed.
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