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Title: [PDF] Statistics in Plain English [Print Replica] Kindle Edition Free


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Description
Statistics in Plain English is a straightforward,
conversational introduction to statistics that
delivers exactly what its title promises. Each
chapter begins with a brief overview of a
statistic (or set of statistics) that describes
what the statistic does and when to use it,
followed by a detailed step-by-step explanation
of how the statistic works and exactly what
information it provides. Chapters also include an
example of the statistic (or statistics) used in
real- world research, Worked Examples, Writing It
Up sections that demonstrate how to write about
each statistic, Wrapping Up and Looking Forward
sections, and practice work problems.Thoroughly
updated throughout, this edition features several
key additions and changes. First, a new chapter
on person- centered analyses, including cluster
analysis and latent class analysis (LCA) has been
added, providing an important alternative to the
more commonly used variable-centered analyses
(e.g., t tests, ANOVA, regression). Next,
the chapter on non-parametric statistics has been
enhanced with in-depth descriptions of
Mann-Whitney U, Kruskal-Wallis, and Wilcoxon
Signed-Rank analyses, in addition to the detailed
discussion of the Chi-square statistic found in
the previous edition. These nonparametric
statistics are widely used when dealing with
nonnormally distributed data. This edition also
includes more information about the assumptions
of various statistics, including a detailed
explanation of the assumptions and consequences
of violating the assumptions of regression, as
well as more coverage of the normal
distribution in statistics. Finally, the book
features a multitude of real-world
examples throughout to aid student understanding
and provides them with a solid understanding of
how several statistics techniques commonly used
by researchers in the social sciences
work.Statistics in Plain English is suitable for
a wide range of readers, including students
taking their first statistics course,
professionals who want to refresh their
statistical memory, and undergraduate or graduate
students who need a concise companion to a
more complicated text used in their class. The
text works as a standalone or as a supplement and
covers a range of statistical concepts from
descriptive statistics to factor analysis and
person-centered analyses.
3
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5
Description
Statistics in Plain English is a straightforward,
conversational introduction to statistics that
delivers exactly what its title promises. Each
chapter begins with a brief overview of a
statistic (or set of statistics) that describes
what the statistic does and when to use it,
followed by a detailed step-by-step
explanation of how the statistic works and
exactly what information it provides. Chapters
also include an example of the statistic (or
statistics) used in real-world research, Worked
Examples, Writing It Up sections that demonstrate
how to write about each statistic, Wrapping Up
and Looking Forward sections, and practice work
problems.Thoroughly updated throughout, this
edition features several key additions and
changes. First, a new chapter on person-centered
analyses, including cluster analysis and latent
class analysis (LCA) has been added, providing an
important alternative to the more commonly used
variable-centered analyses (e.g., t tests, ANOVA,
regression). Next, the chapter on non-parametric
statistics has been enhanced with in-depth
descriptions of Mann-Whitney U, Kruskal-Wallis,
and Wilcoxon Signed-Rank analyses, in addition to
the detailed discussion of the Chi-square
statistic found in the previous edition. These
nonparametric statistics are widely used when
dealing with nonnormally distributed data.
This edition also includes more information about
the assumptions of various statistics, including
a detailed explanation of the assumptions and
consequences of violating the assumptions of
regression, as well as more coverage of the
normal distribution in statistics. Finally, the
book features a multitude of real-world examples
throughout to aid student understanding and
provides them with a solid understanding of
how several statistics techniques commonly used
by researchers in the social sciences
work.Statistics in Plain English is suitable for
a wide range of readers, including students
taking their first statistics course, professional
s who want to refresh their statistical memory,
and undergraduate or graduate students who need a
concise companion to a more complicated text used
in their class. The text works as a standalone or
as a supplement and covers a range of statistical
concepts from descriptive statistics to factor
analysis and person-centered analyses.
6
PDF Statistics in Plain English Print Replica
Kindle Edition Free
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