Data Analytics and Statistics

<p><em style=background-color: rgba(255 255 255 1); color: rgba(51 51 51 1)>Data Analytics and Statistics</em><span style=background-color: rgba(255 255 255 1); color: rgba(51 51 51 1)> 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.</span></p><p></p><p><span style=background-color: rgba(255 255 255 1); color: rgba(51 51 51 1)>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.</span></p><p></p><p><span style=background-color: rgba(255 255 255 1); color: rgba(51 51 51 1)>Designed to supply students with essential foundational knowledge </span><em style=background-color: rgba(255 255 255 1); color: rgba(51 51 51 1)>Data Analytics and Statistics</em><span style=background-color: rgba(255 255 255 1); color: rgba(51 51 51 1)> is an ideal textbook for any course with emphasis on the development and interpretation of statistical data.</span></p>