Data Analytics & Statistics

Explore practical statistical analysis using real datasets and hands-on exercises that guide data correction, classification, and exploratory techniques. Cover probability, regression, categorical analysis, and ANOVA with step-by-step instruction using JMP and SPSS, empowering students to interpret and apply statistical insights. Data Analytics and Statistics provides students with a comprehensive survey of the field, equipping them with the knowledge they need to understand and apply statistics across a broad spectrum of disciplines. Featuring a highly practical approach, the text guides students through the process of statistical analysis utilizing the software JMP and unique datasets. The opening chapter provides readers with an introduction to the book's approach, three examples of scientific studies, and advice on how to correct a dataset and enter it into JMP or SPSS. Additional chapters explore data types, how to look at data, and probability. Students learn about correlation and simple linear regression, categorical analysis, sampling distributions, and inference. Closing chapters address data analytics and ANOVA. Helpful appendices provide students with software notes and statistical tables. Designed to supply students with essential foundational knowledge, Data Analytics and Statistics. is an ideal textbook for any course with emphasis on the development and interpretation of statistical data.