Peer Reviewed
Field of study
Physical Sciences and Mathematics
Statistics and Probability
General
AP Stats and Business Stats Raising the bar
Kairat Mynbayev
Carlos Martins Filho
Field of study
Physical Sciences and Mathematics
Statistics and Probability
General
\$5.99

The book covers the topics usually included in undergraduate Statistics courses: graphical and numerical description of data, probability, discrete and continuous variables and distributions, sampling and sampling distribution, estimation, hypothesis testing, simple regression, ANOVA, and maximum likelihood method. It is the philosophy that is unusual: we try to prove most facts, without sacrificing intuition. As a result, the reader can see the true motivation behind statistical constructions and the logical links between them. The book is particularly suitable for Statistics courses of the London School of Economics and University of London.
The electronic (pdf) copy of the book is extremely easy to use on electronic devices because it contains almost 400 hyperlinks. You can start reading the book from the middle. Whenever knowledge of the previous material is required, you will see a link which will take you to the relevant place in the text. After reading it, just press the back button in your pdf reader and continue reading where you took off.
The main statistical phenomena and variables are modeled and illustrated in Excel. The book is written with the view that the reader is preparing to take Econometrics. In particular, it contains a chapter called "Bridge to econometrics". In a separate chapter we describe Excel and Mathematica statistical functions that allow one to do without statistical tables.
Many topics are provided with Excel and Mathematica examples and videos and developed further on the author's web site http://raisingthebar.nl/, which is regularly updated.

ISBN 978-1-5342-0231-3 Glasstree Academic Publishing 10.20850/9781534202313 2015, Kairat Mynbayev Standard Copyright License Textbook Open, Completed graphical and numerical description of data, probability, discrete and continuous variables and distributions, sampling and sampling distribution, estimation, hypothesis testing, simple regression, ANOVA, maximum likelihood method University/Post-secondary education
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