Statistics for the Life Sciences [With CDROM and Student Solutions Manual]

Education & Teaching

Witmer, Jeffrey

Samuels

Schools & Teaching

PRENTICE/HALL

NOTE: This edition features the same content as the traditional text in a convenient, three-hole-punched, loose-leaf version. Books a la Carte also offer a great value–this format costs significantly less than a new textbook. Before purchasing, check with your instructor or review your course syllabus to ensure that you select the correct ISBN. Several versions of Pearson's MyLab &amp; Mastering products exist for each title, including customized versions for individual schools, and registrations are not transferable. In addition, you may need a CourseID, provided by your instructor, to register for and use Pearson's MyLab &amp; Mastering products. The Fifth Edition of Statistics for the Life Sciences uses authentic examples and exercises from a wide variety of life science domains to give statistical concepts personal relevance, enabling students to connect concepts with situations they will encounter outside the classroom. The emphasis on understanding ideas rather than memorizing formulas makes the text ideal for students studying a variety of scientific fields: animal science, agronomy, biology, forestry, health, medicine, nutrition, pharmacy, physical education, zoology and more. In the fifth edition, randomization tests have been moved to the fore to motivate the inference procedures introduced in the text. There are no prerequisites for the text except elementary algebra.

Statistics for the Life Sciences

Science & Math

Samuels, Myra

Schaffner, Andrew

Mathematics

Pearson

The Fifth Edition of Statistics for the Life Sciences uses authentic examples and exercises from a wide variety of life science domains to give statistical concepts personal relevance, enabling students to connect concepts with situations they will encounter outside the classroom. The emphasis on understanding ideas rather than memorizing formulas makes the text ideal for students studying a variety of scientific fields: animal science, agronomy, biology, forestry, health, medicine, nutrition, pharmacy, physical education, zoology and more. In the fifth edition, randomization tests have been moved to the fore to motivate the inference procedures introduced in the text. There are no prerequisites for the text except elementary algebra.

This manual contains completely worked-out solutions for selected exercises in the text.

Student Solutions Manual for Statistics for the Life Sciences

Activity-Based Statistics helps build real statistical understanding through a set of innovative hands-on activities that can be used each day in conjunction with other texts. The second edition continues to emphasize discovery by motivating students to apply the skills they have learned to discover the everyday relevance of statistics. There are over 45 activities and five long-term projects that have been updated and extended to encourage students to experience statistics in context. While the second edition includes updated technology extensions for Fathom, technology is used throughout the book to extend activities and is not required to complete them.

Activity-Based Statistics, 2nd Edition Student Guide

SCHEAFFER, RICHARD L.

Gnanadesikan, Mrudulla

Watkins, Ann E.

wiley

STAT2 introduces students to statistical modeling beyond what they have learned in a Stat 101 college course or an AP Statistics course. Building on basic concepts and methods learned in that course, STAT2 empowers students to analyze richer datasets that include more variables and address a broader range of research questions. 
 Other than a working understanding of exponential and logarithmic functions, there are no prerequisites beyond successful completion of their first statistics course. To help all students make a smooth transition to this course, Chapter 0 reminds students of basic statistical terminology and also uses the familiar two-sample t-test as a way to illustrate the approach of specifying, estimating, and testing a statistical model.
 Using STAT2, students will: 
 <ul>
 <li>Go beyond their Stat 101 experience by learning to develop and apply models with both quantitative and categorical response variables, and with multiple explanatory variables. STAT2 Chapters are grouped into units that consider models based on the type of response and type of predictors.</li>
</ul>
 <ul>
 <li>Discover that the practice of statistical modeling involves applying an interactive process. STAT2 employs a four-step process in all statistical modeling: Choose a form for the model, fit the model to the data, assess how well the model describes the data, and use the model to address the question of interest.</li>
</ul>
 <ul>
 <li>Learn how to apply their developing judgment about statistical modeling. STAT2 introduces the idea of constructing statistical models at the very beginning, in a setting that students encountered in their Stat 101 course. This modeling focus continues throughout the course as students encounter new and increasingly more complicated scenarios.</li>
</ul>
 <ul>
 <li>Analyze and draw conclusions from real data, which is crucial for preparing students to use statistical modeling in their professional lives. STAT2 incorporates real and rich data throughout the text. Using real data to address genuine research questions helps motivate students to study statistics. The richness stems not only from interesting contexts in a variety of disciplines, but also from the multivariable nature of most datasets. </li>
</ul>

STAT2: Modeling with Regression and ANOVA

Moore,Thomas

Cobb, George

Cannon, Ann

Legler, Julie

Rossman, Allan

Lock, Robin

Hartlaub, Bradley

W.H.Freeman

Loose-leaf Version for STAT2 & Achieve Essentials for STAT2 (2-Term Access)

activity-based statistics

The second edition of Activity-Based Statistics, revised by Tim Erickson, remains true to the vision of the original, highly respected author team: A set of basic, hands-on, exploratory activities that can be completed without the use of technology. Because these activities are designed to be conducted with materials that are easily obtainable (coins, dice, pasta, paper, marbles, and so on), their implementation is made easy for any instructor without regard to budget concerns or technology proficiency. By making the activities fun and engaging the authors are promoting the idea that statistics is, indeed, an experimental science. The Student Guide is affordably-priced for supplemental adoption in addition to another core statistics text. With over 40 activities from which to choose, instructors should easily find many that are appropriate for both the college introductory course curricula and AP Statistics. Using Activity-Based Statistics in addition to any standard introductory statistics text helps students experience statistics in context and discover its everyday relevance. Activities can be introduced once students have become familiar with standard statistics topics. The directions for each activity are simple and easy to understand, and most can be completed in one 50-minute class period.

Watkins, Ann

Key College

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