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This book shows the capabilities of Microsoft Excel in teaching
environmental science statistics effectively. Similar to the
previously published Excel 2016 for Environmental Sciences
Statistics, this book is a step-by-step, exercise-driven guide for
students and practitioners who need to master Excel to solve
practical environmental science problems. If understanding
statistics isn't the reader's strongest suit, the reader is not
mathematically inclined, or if the reader is new to computers or to
Excel, this is the book to start off with. Excel, a widely
available computer program for students and managers, is also an
effective teaching and learning tool for quantitative analyses in
environmental science courses. Its powerful computational ability
and graphical functions make learning statistics much easier than
in years past. Excel 2019 for Environmental Sciences Statistics: A
Guide to Solving Practical Problems capitalizes on these
improvements by teaching students and managers how to apply Excel
to statistical techniques necessary in their courses and work. In
this new edition, each chapter explains statistical formulas and
directs the reader to use Excel commands to solve specific,
easy-to-understand environmental science problems. Practice
problems are provided at the end of each chapter with their
solutions in an appendix. Separately, there is a full practice test
(with answers in an appendix) that allows readers to test what they
have learned.
This book shows the capabilities of Microsoft Excel in teaching
physical science statistics effectively. Similar to the previously
published Excel 2016 for Physical Sciences Statistics, this book is
a step-by-step, exercise-driven guide for students and
practitioners who need to master Excel to solve practical physical
science problems. If understanding statistics isn't the reader's
strongest suit, the reader is not mathematically inclined, or if
the reader is new to computers or to Excel, this is the book to
start off with. Excel, a widely available computer program for
students and managers, is also an effective teaching and learning
tool for quantitative analyses in physical science courses. Its
powerful computational ability and graphical functions make
learning statistics much easier than in years past. Excel 2019 for
Physical Sciences Statistics: A Guide to Solving Practical Problems
capitalizes on these improvements by teaching students and managers
how to apply Excel to statistical techniques necessary in their
courses and work. In this new edition, each chapter explains
statistical formulas and directs the reader to use Excel commands
to solve specific, easy-to-understand physical science problems.
Practice problems are provided at the end of each chapter with
their solutions in an appendix. Separately, there is a full
practice test (with answers in an appendix) that allows readers to
test what they have learned.
Newly revised to specifically address Microsoft Excel 2019, this
book is a step-by-step, exercise-driven guide for students and
practitioners who need to master Excel to solve practical
biological and life science problems. Excel is an effective
learning tool for quantitative analyses in biological and life
sciences courses. Its powerful computational ability and graphical
functions make learning statistics much easier than in years past.
Excel 2019 for Biological and Life Sciences Statistics capitalizes
on these improvements by teaching students and professionals how to
apply Excel 2019 to statistical techniques necessary in their
courses and work.Each chapter explains statistical formulas and
directs the reader to use Excel commands to solve specific,
easy-to-understand biological and life science problems. Practice
problems are provided at the end of each chapter with their
solutions in an appendix. Separately, there is a full practice test
(with answers in an appendix) that allows readers to test what they
have learned. This new edition offers a wealth of new practice
problems and solutions, as well as updated chapter content
throughout.
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