Elementary Statistics

<p><em>Elementary Statistics: A Guide to Data Analysis Using R </em>provides students with an introduction to both the field of statistics and R one of the most widely used languages for statistical computing analysis and graphing in a variety of fields including the sciences finance banking health care e-commerce and marketing.</p><p> </p><p>Part I provides an overview of both statistics and R. Part II focuses on descriptive statistics and probability. In Part III students learn about discrete and continuous probability distributions with chapters addressing probability distributions binominal probability distributions and normal probability distributions. Part IV speaks to statistical inference with content covering confidence intervals hypothesis testing chi-square tests and F-distributions. The final part explores additional statistical inference and assumptions including correlation regression and nonparametric statistics. Helpful appendices provide students with an index of terminology an index of applications a glossary of symbols and a guide to the most common R commands.</p><p> </p><p><em>Elementary Statistics </em>is an ideal resource for introductory courses in undergraduate statistics graduate statistics and data analysis across the disciplines.</p><p><strong> </strong></p><p><strong>Nancy L. Glenn Griesinger </strong>is a tenured professor of mathematics and the founder and CEO of Mobile Math LLC. She has taught statistics and mathematics for 20 years at universities in Texas South Carolina and California. She holds a Ph.D. in statistics from Rice University.</p><p><strong> </strong></p><p><strong>Daniel Vrinceanu </strong>is a tenured professor of physics at Texas Southern University. He holds a Ph.D. in theoretical atomic physics from the Georgia Institute of Technology.</p><p><strong> </strong></p><p><strong>Monica C. Jackson </strong>is the deputy provost and dean of faculty at American University. She is also a tenured professor of mathematics and statistics. She holds a Ph.D. in applied mathematics and scientific computation from the University of Maryland College Park.</p><p><strong> </strong></p><p><strong>William C. Howell </strong>is a professorial lecturer in the Department of Mathematics and Statistics at American University. He holds a Ph.D. in applied mathematics and scientific computing from the University of Maryland College Park.</p>