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This
PDF version is copyright
© 2020 by Charles C. X.
Copyrights
© All rights reserved. |
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摘要/Abstract:
This
book is written in Englis and focus on description of data and analysis of data with help
you understand and learn exactly what you need to know about
statistical ideas and techniques, fundamental formulas and
calculations and statistical core topics in scope of applications.
The book includes more than forty examples in explanation
and/or illustration, step by step, to let you understand or have
ideas to understand on how and why the statistic formula and
calculation be applied.
本书采用英文撰写,聚焦于数据描述与数据分析。它旨在帮助读者精准理解并掌握核心统计学概念、方法、基础公式及计算,全面涵盖实际应用中的统计学核心课题。书中提供了四十多个循序渐进的案例解析与示范,帮助读者深刻领会统计公式与计算方法的应用场景与内在逻辑。
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The text mentions several
key components of statistics. Here is exactly
what they mean in a practical context:
- Description
of Data (数据描述
/
描述性统计):
This involves summarizing and
organizing data so it can be easily
understood. It includes calculating things
like the average (mean), the middle value
(median), and how spread out the data is
(standard deviation), or creating charts like
histograms.
- Analysis
of Data (数据分析
/
推断性统计):
This goes beyond just describing
what you have. It involves making predictions,
finding trends, and drawing conclusions about
a larger population based on a smaller sample
of data (e.g., hypothesis testing or
regression analysis).
- Fundamental
Formulas and Calculations (基础公式与计算):
These are the mathematical building
blocks of statistics. Examples include the
formulas for variance, probability, Z-scores,
and confidence intervals.
- Scope
of Applications (应用范围):
Statistics is not just theoretical.
This term means the book teaches you how to
apply these math tools to real-world fields
like business marketing, medical trials,
social sciences, or quality control in
manufacturing.
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How and
Why...Statistics
by Charles Cheng Xia, MD.
MPH.

The PDF version of this
book, 167 pages of A4 size, for online download is
available.
Save a lot! >>Download...

1stStat.com ebook reader for
students.
This
book is focus on description of data and analysis of
data with help you understand and learn exactly what you
need to know about statistical ideas and techniques,
fundamental formulas and calculations and statistical
core topics in scope of applications.
The
book includes more than forty examples in explanation
and/or illustration, step by step, to let you understand
or have ideas to understand on how and why the statistic
formula and calculation be applied.
About
the Author
Charles
Cheng Xia is a statistics and health educator with his
Medical Doctor and Master of Public Health degree. His
primary research interest lies in epidemiology, health
economics and complex disease dynamics inferred from
data science and mathematical modeling.
Email: xc7788@gmail.com |
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Statistics is the
bridge between the data you have and the insight you
need. The scope ranges from simple summaries and
exploratory analyses to complex modeling and hypothesis
testing.
Summary Statistics
Summary statistics
provide a snapshot of a system without attempting to
explain what's going on behind the scenes or to predict
how things might change. Presented
as tables or simple plots, these give you an overview of
the information contained within your data. Summary
statistics are ideal when you simply need to record and
report on the data you collected, whether it's a
laboratory experiment or a nationwide survey.
Exploratory Data
Analysis
Often a precursor
to more detailed statistical analysis and modeling, but
still a very valuable exercise. The book begins to
explore the relationships between the variables within
the data set, to identify patterns and trends that help
you understand what's going on.
Assumptions will
be tested to understand what sorts of processes might be
involved in generating your data. Sophisticated visualization
techniques are used to display complex relationships in
an easily-digestible manner to help you communicate the
results and understand in simple terms what's going on.
Statistical
Analysis
Statistical
analyses range from hypothesis tests to predictive
models. They are used to answer specific questions,
either about what's happening now or what might happen
in the future. They provide a detailed insight into your
data to create clear conclusions and motivate
intelligent decisions.
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This
book is focus on description of data and analysis
of data with help you understand and learn exactly
what you need to know about statistical ideas and
techniques, fundamental formulas and calculations
and statistical core topics in scope of
applications. The book is mainly based on the
following two illustration figures to extend the
statistic contents. |
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For
your better and/or easier understanding, this book
includes more than forty examples in explanation
and/or illustration, step by step, to let you
understand or have ideas to understand on how and
why the statistic formula and calculation be
applied.
It
is assumed that you’ve had a basic algebra
background and can do some of the basic
mathematical operations and understand some of
basic notation used in algebra like x, y,
summation sign, taking the square root, squaring a
number, and so on.
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