Statistics Nursing Practice

Equips nurses & students with essential statistical skills, interpret statistical findings using Data, SPSS and Excel.

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Statistics for Evidence-Based Practice in Nursing is an essential resource for nurses and advanced practice students, emphasizing the importance of statistics in clinical settings. This edition enhances understanding through clear explanations, updated case studies, and practical applications using SPSS and Excel. It prepares readers to effectively engage in evidence-based practice and tackle complex healthcare challenges.

Statistics for Evidence-Based Practice in Nursing, Third Edition promotes a comprehensive understanding of statistics in all aspects of clinical practice and health care settings. This text has been thoughtfully designed to meet the learning needs of practicing nurses and advanced practice nursing students to help them engage in evidence-based practice. Praised for its readability, the Third Edition teaches students to interpret and evaluate statistical findings in practice.

The Third Edition is written with clarity and accessibility in mind, helping drive student comprehension of statistics. Expanded data sets allow for learners to take on more complex practice problems, readying them for real-world application. In addition to featuring the latest SPSS procedures, the new edition presents further instruction using Excel. Readers will appreciate updated case studies, the inclusion of evidence-based practice applications of statistics, and critical thinking questions.

Features and Benefits

• New evidence-based case studies reflect current practices and issues in nursing
• New critical thinking questions and self-quizzes reinforce key concepts
• Complex data sets simulate working with large populations
• Updated screenshots from SPSS and Excel procedure

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Content licensed from printed ISBN 10: 1284194671 Content licensed from printed ISBN 13: 9781284194678

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Author(s): MyoungJin Kim; Caroline Mallory; Teresa Valerio Publisher: Jones & Bartlett Learning