Statistics Is Easy! (synthesis Lectures On Mathematics And Statistics)
by Dennis Shasha /
2008 / English / PDF
2.1 MB Download
Statistics is the activity of inferring results about a population
given a sample. Historically, statistics books assume an underlying
distribution to the data (typically, the normal distribution) and
derive results under that assumption. Unfortunately, in real life,
one cannot normally be sure of the underlying distribution. For
that reason, this book presents a distribution-independent approach
to statistics based on a simple computational counting idea called
resampling. This book explains the basic concepts of resampling,
then systematically presents the standard statistical measures
along with programs (in the language Python) to calculate them
using resampling, and finally illustrates the use of the measures
and programs in a case study. The text uses junior high school
algebra and many examples to explain the concepts. The ideal reader
has mastered at least elementary mathematics, likes to think
procedurally, and is comfortable with computers.
Statistics is the activity of inferring results about a population
given a sample. Historically, statistics books assume an underlying
distribution to the data (typically, the normal distribution) and
derive results under that assumption. Unfortunately, in real life,
one cannot normally be sure of the underlying distribution. For
that reason, this book presents a distribution-independent approach
to statistics based on a simple computational counting idea called
resampling. This book explains the basic concepts of resampling,
then systematically presents the standard statistical measures
along with programs (in the language Python) to calculate them
using resampling, and finally illustrates the use of the measures
and programs in a case study. The text uses junior high school
algebra and many examples to explain the concepts. The ideal reader
has mastered at least elementary mathematics, likes to think
procedurally, and is comfortable with computers.