Description : Quantitative data analysis is now a compulsory component of most degree courses in the social sciences and students are increasingly reliant on computers for the analysis of data. Quantitative Data Analysis with Minitab explains statistical tests for Minitab users using the same formulae free, non technical approach, as the very successful SPPS version. Students will learn a wide range of quantitative data analysis techniques and become familiar with how these techniques can be implemented through the latest version of Minitab. Techniques covered include univariate analysis (with frequency table, dispersion and histograms), bivariate (with contingency tables correlation, analysis of varience and non-parametric tests) and multivariate analysis (with multiple regression, path analysis, covarience and factor analysis). In addition the book covers issues such as sampling, statistical significance, conceptualisation and measurement and the selection of appropriate tests. Each chapter concludes with a set of exercises. Social science students will welcome this integrated, non mathematical introduction to quantitative data anlysis and the minitab package.
Description : Until recently, acquiring a background in the basic methodological principles that apply to most types of investigations meant struggling to obtain results through laborious calculations. The advent of statistical software packages has removed much of the tedium and many of the errors of manual calculations and allowed a marked increase in the depth and sophistication of analyses. Although most statistics classes now incorporate some instruction in using a statistics package, most introductory texts do not.Quantitative Investigations in the Biosciences using MINITAB fills this void by providing an introduction to investigative methods that, in addition to outlining statistical principles and describing methods of calculations, also presents essential commands and interprets output from the statistics package MINITAB.The author introduces the three basic elements of investigations-design, analysis, and reporting-using an extremely accessible approach that keeps mathematical detail to a minimum. He groups statistical tests according to the type of problem they are used to examine, such as comparisons, sequential relationships, and associations.Quantitative Investigations in the Biosciences using MINITAB draws techniques and examples from a variety of subjects, ranging from physiology and biochemistry through to ecology, behavioral sciences, medicine, agriculture and horticulture, and complements the mathematical results with formal conclusions for all of the worked examples. It thus provides an ideal handbook for anyone in virtually any field who wants to apply statistical techniques to their investigations.
Description : This bestselling professional reference has helped over 100,000 engineers and scientists with the success of their experiments. The new edition includes more software examples taken from the three most dominant programs in the field: Minitab, JMP, and SAS. Additional material has also been added in several chapters, including new developments in robust design and factorial designs. New examples and exercises are also presented to illustrate the use of designed experiments in service and transactional organizations. Engineers will be able to apply this information to improve the quality and efficiency of working systems.
Description : The Environmental Monitoring and Assessment Program was created by EPA to develop the capability for tracking the changing conditions of our natural resources and to give environmental policy the advantages ofa sound scientific understanding of trends. Former EPA Administrators recognized early that contemporary monitoring programs could not even quantify simple unknowns like the number of lakes suffering from acid rain, let along determine if national control policies were benefiting these lakes. Today, adding to acidification impacts are truly complex problems such as determining the effects of climate change, of increases in ultraviolet light, toxic chemicals, eutrophication and critical habitat loss. Also today, the Government Performance and Results Act seeks to have agencies develop performance standards based on results rather than simply on levels of programmatic activities. The charge to EMAP of ecosystems is, therefore, the same today as it was a with respect to measuring the condition decade ago. We welcome the increasing urgency for sound scientific monitoring methods and data by efforts to protect and improve the environment. Systematic nationwide monitoring of natural resources is more than anyone program can accomplish, however. In an era of declining budgets, it is crucial that monitoring programs at all levels of government coordinate and share environmental data. EMAP resources are dwarfed by the more than $500 million spent on federal monitoring activities each year.