Statistics is one of the most useful elements of any psychology degree. This popular textbook will equip you with the tools needed not only to make sense of your own data and research, but also to think critically about the research and statistics you will encounter in everyday life. Features include: - Logical, intuitive organization of key statistical concepts and tests with an emphasis on understanding which test to use and why - Innovative graphic illustrations and insightful dialogues that help you to get to grips with statistics - Concise, easy-to-follow guidelines for making sense of SPSS - COverage of more complex tests and concepts for when you need to dig deeper Making Sense of Data and Statistics in Psychology will help you design experiments, analyse data with confidence and establish a solid grounding in statistics; it will become a valuable resource throughout your studies. Companion Site: www.palgrave.com/psychology/mulhern2e
Starting Out in Methods and Statistics for Psychology: a Hands-on Guide to Doing Research takes first year psychology students through the entire process of doing research in psychology from exploring designs and methods, to conducting step-by-step, by-hand data analysis, and writing up their findings, in a friendly and accessible way.
The fast and easy way to make sense of statistics for big data Does the subject of data analysis make you dizzy? You've come to the right place! Statistics For Big Data For Dummies breaks this often-overwhelming subject down into easily digestible parts, offering new and aspiring data analysts the foundation they need to be successful in the field. Inside, you'll find an easy-to-follow introduction to exploratory data analysis, the lowdown on collecting, cleaning, and organizing data, everything you need to know about interpreting data using common software and programming languages, plain-English explanations of how to make sense of data in the real world, and much more. Data has never been easier to come by, and the tools students and professionals need to enter the world of big data are based on applied statistics. While the word «statistics» alone can evoke feelings of anxiety in even the most confident student or professional, it doesn't have to. Written in the familiar and friendly tone that has defined the For Dummies brand for more than twenty years, Statistics For Big Data For Dummies takes the intimidation out of the subject, offering clear explanations and tons of step-by-step instruction to help you make sense of data mining—without losing your cool. Helps you to identify valid, useful, and understandable patterns in data Provides guidance on extracting previously unknown information from large databases Shows you how to discover patterns available in big data Gives you access to the latest tools and techniques for working in big data If you're a student enrolled in a related Applied Statistics course or a professional looking to expand your skillset, Statistics For Big Data For Dummies gives you access to everything you need to succeed.
Making Sense of Mass Education provides an engaging and accessible analysis of traditional issues associated with mass education. The book challenges preconceptions about social class, gender and ethnicity discrimination; highlights the interplay between technology, media, popular culture and schooling; and inspects the relevance of ethics and philosophy in the modern classroom. This new edition has been comprehensively updated to provide current information regarding literature, statistics and legal policies, and significantly expands on the previous edition's structure of derailing traditional myths about education as a point of discussion. It also features two new chapters on Big Data and Globalisation and what they mean for the Australian classroom. Written for students, practising teachers and academics alike, Making Sense of Mass Education summarises the current educational landscape in Australia and looks at fundamental issues in society as they relate to education.
Study and application of statistics, being cornerstone of scientific investigation, most often pose anxiety to undergraduate/graduate students of psychology, behavioural and social sciences. Sometimes, this problem is carried over to scholarship experience threatening competence required for quantification and interpretation of findings. Applied Statistics and Research Report Writing in Psychology, concisely written in simple language with examples and illustrations prepares students and researchers to overcome challenges often encountered in handling statistics thereby reducing anxiety experienced in quantification, application of right statistics, interpretation of results, and writing research report. The book treats the most important and practically relevant aspects of statistics for psychology, behavioural and social sciences, ranging from processes of data presentation, various measures of central tendency, dispersion, probability, hypothesis testing, parametric and non-parametric tests, interpretation of results, and research report writing and each chapter ending with review questions. Students, instructors, researchers and scholars will find this book very useful.
To most people the word statistics conjures up images of vast tables of confusing numbers, volumes and volumes of figures pertaining to births, deaths, taxes, populations, and so forth, or figures indicating baseball batting averages or football yardage gained flashing across television screens. This is so because in common usage the word statistics is synonymous with the word data. In a sense this is a reasonably accurate impression because the discipline of statistics deals largely with principles and procedures for collecting, describing, and drawing conclusions from data. Therefore it is appropriate for a text in statistics to start by discussing the nature and scope of statistics. Chapter Two discusses data collection. The purpose of this chapter is to provide the definition of a set of data, define the components of such a data set, present tools that are used to describe a data set, and briefly discuss methods of data collection. Chapter Three presents diagrams, charts and graphs. Chapter Four discusses measure of central tendency. Chapter Five presents measure of dispersion and some practice questions.
A friendly and accessible approach to applying statistics in the real world With an emphasis on critical thinking, The Art of Data Analysis: How to Answer Almost Any Question Using Basic Statistics presents fun and unique examples, guides readers through the entire data collection and analysis process, and introduces basic statistical concepts along the way. Leaving proofs and complicated mathematics behind, the author portrays the more engaging side of statistics and emphasizes its role as a problem-solving tool. In addition, light-hearted case studies illustrate the application of statistics to real data analyses, highlighting the strengths and weaknesses of commonly used techniques. Written for the growing academic and industrial population that uses statistics in everyday life, The Art of Data Analysis: How to Answer Almost Any Question Using Basic Statistics highlights important issues that often arise when collecting and sifting through data. Featured concepts include: • Descriptive statistics • Analysis of variance • Probability and sample distributions • Confidence intervals • Hypothesis tests • Regression • Statistical correlation • Data collection • Statistical analysis with graphs Fun and inviting from beginning to end, The Art of Data Analysis is an ideal book for students as well as managers and researchers in industry, medicine, or government who face statistical questions and are in need of an intuitive understanding of basic statistical reasoning.
Whether it's designing a study, conducting an experiment, or analyzing the results, research methods are an integral part of Psychology. In this student-friendly introduction, Walker covers the different types of study, quantitative data, statistics and ethics. This book is the perfect tool to help build students' confidence in this vital area.
The Statistical Techniques for Data Analysis contains, • Meaning and Definition of Statistics • Measurement and Enumeration • Statistical Frequency Distributions • Measures of Central Tendency • Measures of Variability • Deciles, Percentiles, Percentile Ranks and Standard Scores • Normal Curve • Correlation • Regression • Statistical Inference and Significance of Statistics • Difference Between Means and Other Statistics • Chi-square Test • Non-Parametric Tests • Special Methods of Correlation • ANOVA • Analysis of Variance and Factorial Designs • ANCOVA • Partial and Multiple Correlations • Scaling of Tests • Item Analysis • Reliability and Validity • Factor Analysis • Use of Computer in Educational Research. The book provide the clear understanding of basic descriptive and inferential statistics. It shows the practical understanding of statistics, in data analysis. It contains enough suitable illustrations for manual computation. This book will be useful for new researchers of M.Ed., M.Phil. and Ph.D., to choose the suitable techniques for data analysis.
The most comprehensive source of statistics in the UK, Annual Abstract of Statistics is a statistical encyclopaedia including over 10,000 series of data and covering key aspects of the UKs economic, social and industrial life. The data are presented in easy-to-read tables and supported by notes.
Viable research and development programs are impossible without the use of statistics. Thus anyone who wishes to be a researcher should have sufficient statistical skill and knowledge, ranging from descriptive to multivariate statistics. In fact, statistical tools should be used taking into account assumptions for data analysis and use of the correct models, ultimately avoiding wrong conclusion in practical plant research programs. Though statistics helps us to make rational decision, an ambitious and unprofessional use of statistical tools is a fatal to both the scientific community and industry.
Every business area relies on an understanding of statistics to succeed. Statistics for Business and Economics by Carlos Cortinhas (University of Exeter) and Ken Black (University of Houston) shows students that the proper application of statistics in the business world goes hand-in-hand with good decision making. Every statistical tool presented in this book has a business application set in a global context and the many learning features and easy-to-use structure will engage and reassure each business statistics student.
This book teaches students how to do statistics and how to use statistics as a tool for making intelligent, informed decisions. Doing Statistics For Business, Second Edition is data driven, emphasizing statistical reasoning, interpretation, and decision-making with an emphasis is on comparison and interpretation rather than rote calculation. The cases are based on real business situations and data that are relevant to student life.
This remarkably engaging text gives biology students an introduction to statistics. Based on a growing interest in statistics across the life science fields, The Practice of Statistics in the Life Sciences was developed from David Moore's The Basic Practice of Statistics and emphasizes statistical thinking and real data using up-to-date examples.