Features1. Several exercises refer to material covered in earlier sections and chapters, allowing students to more easily see the connections between concepts.2. Virtually every example and exercise h
1.There are many new and revised exercises and examples throughout the text. Many of these new exercises use real data.2.Several exercises now refer to material covered in earlier sections and chapter
Each chapter includes a wealth of great exercises both at the end of each section and in a section of supplementary exercises at the close of each chapter.Devore is passionate about the use of real da
Laurie Devore's new YA novel is a searing look at a forgotten girl who has no good choices left, but one better bad idea . . . Evelyn Peters is desperate. Desperate for a way out of McNair Falls, the
In this edgy young adult contemporary romance, a girl plays games of the heart with the school bad boy.For Nell Becker, life is a competition she needs to win. For Jackson Hart, everyone is a pawn in
Wildly Successful Farming tells the stories of farmers across the American Midwest who are balancing profitability and food production with environmental sustainability and a passion for all things wi
For Nell Becker, life is a competition she needs to win.For Jackson Hart, everyone is a pawn in his own game.They both have everything to lose.Nell wants to succeed at everything—school, sports, life.
In this YA contemporary romance, there's only one rule: Keep your enemies close and your friends closer. Olivia Clayton has mastered the art of tearing others down to stay on top. She and her best fri
Vegan families may seem different from other families, but we celebrate holidays much like other families. We like to spend time together, eat good food, and have fun. Join Violet and Desmond as the
In this YA contemporary romance full of full of love and betrayal, there’s only one rule: Keep your friends close, and your frienemies closer.Olivia Clayton has mastered the art of tearing others down
Table of Contents: 1. Data and Distributions 2. Numerical Summary Measures 3. Bivariate and Multivariate Data 4. Obtaining Data 5. Probability and Sampling Distributions 6. Quality and Reliability 7. Estimation and Statistical Intervals 8. Testing Statistical Hypotheses 9. The Analysis of Variance 10. Experimental Design 11. Inferential Methods in Regression and Correlation
