Basic Statistical Analysis For Applied Sciences

Basic Statistical Analysis For Applied Sciences

The advent of statistical tools is very robust through the statistical software. One of the famous software that is being used by thousands of researchers is SPSS. This book assists the readers to identify the types of analysis needed and clarify the differences between parametric and nonparametric analyses. This will guide the readers to choose the most effective statistical analysis to represent their case study. The simple and attractive, yet comprehensive presentation aims to provide the students, new or advanced researchers with understanding of the basic concept and the right procedure for data analysis. The provided guide will help in formulating good presentations and conclusions based on the results obtained and subsequently providing valuable information on statistical methods in applied research.

SPSS for Applied Sciences

This book offers a quick and basic guide to using SPSS and provides a general approach to solving problems using statistical tests. It is both comprehensive in terms of the tests covered and the applied settings it refers to, and yet is short and easy to understand. Whether you are a beginner or an intermediate level test user, this book will help you to analyse different types of data in applied settings. It will also give you the confidence to use other statistical software and to extend your expertise to more specific scientific settings as required. The author does not use mathematical formulae and leaves out arcane statistical concepts. Instead, he provides a very practical, easy and speedy introduction to data analysis, offering examples from a range of scenarios from applied science, handling both continuous and rough-hewn data sets. Examples are given from agriculture, arboriculture, biology, computer science, ecology, engineering, farming and farm management, hydrology, medicine, ophthalmology, pharmacology, physiotherapy, spectroscopy, sports science, audiology and epidemiology.

Basic Statistical Analysis Using RStudio Software