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Practical Statistics for Pharmaceutical Analysis - With Minitab Applications (Hardcover, 1st ed. 2019)
Loot Price: R3,290
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Practical Statistics for Pharmaceutical Analysis - With Minitab Applications (Hardcover, 1st ed. 2019)
Series: AAPS Advances in the Pharmaceutical Sciences Series, 40
Expected to ship within 10 - 15 working days
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This is an introductory statistics book designed to provide
scientists with practical information needed to apply the most
common statistical tests to laboratory research data. The book is
designed to be practical and applicable, so only minimal
information is devoted to theory or equations. Emphasis is placed
on the underlying principles for effective data analysis and survey
the statistical tests. It is of special value for scientists who
have access to Minitab software. Examples are provides for all the
statistical tests and explanation of the interpretation of these
results presented with Minitab (similar to results for any common
software package). The book is specifically designed to contribute
to the AAPS series on advances in the pharmaceutical sciences. It
benefits professional scientists or graduate students who have not
had a formal statistics class, who had bad experiences in such
classes, or who just fear/don't understand statistics. Chapter 1
focuses on terminology and essential elements of statistical
testing. Statistics is often complicated by synonyms and this
chapter established the terms used in the book and how rudiments
interact to create statistical tests. Chapter 2 discussed
descriptive statistics that are used to organize and summarize
sample results. Chapter 3 discussed basic assumptions of
probability, characteristics of a normal distribution, alternative
approaches for non-normal distributions and introduces the topic of
making inferences about a larger population based on a small sample
from that population. Chapter 4 discussed hypothesis testing where
computer output is interpreted and decisions are made regarding
statistical significance. This chapter also deasl with the
determination of appropriate sample sizes. The next three chapters
focus on tests that make decisions about a population base on a
small subset of information. Chapter 5 looks at statistical tests
that evaluate where a significant difference exists. In Chapter 6
the tests try to determine the extent and importance of
relationships. In contrast to fifth chapter, Chapter 7 presents
tests that evaluate the equivalence, not the difference between
levels being tested. The last chapter deals with potential outlier
or aberrant values and how to statistically determine if they
should be removed from the sample data. Each statistical test
presented includes an example problem with the resultant software
output and how to interpret the results. Minimal time is spent on
the mathematical calculations or theory. For those interested in
the associated equations, supplemental figures are presented for
each test with respective formulas. In addition, Appendix D
presents the equations and proof for every output result for the
various examples. Examples and results from the appropriate
statistical results are displayed using Minitab 18O. In addition to
the results, the required steps to analyze data using Minitab are
presented with the examples for those having access to this
software. Numerous other software packages are available, including
based data analysis with Excel.
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