When being yourself isn't good enough, who should you be?
Told in dual perspectives, this provocative and timely novel for middle-school readers by Paula Chase, the acclaimed author of So Done and Dough Boys, will resonate with fans of Jason Reynolds, Rebecca Stead, and Ren e Watson.
Best friends Rasheeda and Monique are both good girls. For Sheeda, that means keeping her friends close and following her deeply religious and strict aunt's every rule. For Mo, that means not making waves in the prestigious and mostly White ballet intensive she's been accepted to.
But what happens when Sheeda catches the eye of Mo's older brother, and the invisible racial barriers to Mo's success as a ballerina turn out to be not so invisible? What happens when you discover that being yourself isn't good enough? How do you fight back?
Paula Chase explores the complex and emotional issues that affect many young teens in this novel set in the same neighborhood as her acclaimed So Done and Dough Boys. Friendship, family, finding yourself, and standing your ground are the themes of this universal story that is perfect for fans of Jason Reynolds, Rebecca Stead, and Ren e Watson.
Experimental design analyzing with linear models has been on the notation for decades. The book, although somewhat antique, is still an envaluable reference.
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I have used this book when it was in its first edition and only by Neter and Wasserman. An absolute must for those who use linear models (regression and ANOVA) and want the most exhaustive book out there. This book is one of the rare texts that is also extremely well written. You can not go wrong reading it and studying it on your own. If you can take only one statistics book with you, this is the one. I use the 4th edition...
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This book seems very difficult and long to read at first, but as soon as I got into the habit of using this book, this is really a great book to have. The terminologies are very easy to understand and yet not redundant, and it has some great reference areas in the sections that you could look up for information when you need to work on an exercise or a project. The exercises in the back of each section are ample enough so...
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The linear model lies at the heart of a wide variety of familiar statistical methods, including regression, anova, and ancova. Anyone with a professional interest in statistics must get to know it well. This book is a clear, well organized, and practical presentation of the linear model. It is not pie-in-the-sky or esoteric. It leads the reader carefully through the real world problems that are encountered in applying...
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I definitely recommend this book to anyone who wishes to understand how to implement the linear model. This book shows the theory and then gives comprehensive examples explaining when and how to apply the theory. The book made few assumptions about readers having a certain level of specialized knowledge, such as familiarity with matrix math. The math presented in the book is thoroughly explained from the ground up using...
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