Designed for beginning and intermediate Data scientists, graduate students beginning research, undergraduate students taking a first or second Applied Statistics class, quality improvement professionals, and consultants, this unique book provides an integrated treatment of statistical inference techniques in Data analysis.
If you have some experience already, this book will make you more productive and enhance your understanding of foundational statistical concepts including one and two-sample t-tests, paired t-test, one and two proportion z-test, Chi-square test of independence, one-way ANOVA, and inference for linear regression..
If you\'re new to statistics, Data science, or R, this book will help you get started.
Each technique is framed within an easy-to-apply 7 Step methodology that will make planning and presenting research a breeze.
Each example is solved analytically, then computationally (using the R Statistical Software) so that readers can see exactly how the computations are performed.
Designed for beginning and intermediate Data scientists, graduate students beginning research, undergraduate students taking a first or second Applied Statistics class, quality improvement professionals, and consultants, this unique book provides an integrated treatment of statistical inference techniques in Data analysis
