Part Of The Jones And Bartlett Learning International Series In
Mathematics Written For The One-Term Introductory Probability And
Statistics Course For Mid- To Upper-Level Math And Science Majors,
Essentials Of Mathematical Statistics Combines The Topics Generally
Found In Main-Stream Elementary Statistics Books With The
Essentials Of The Underlying Theory. The Book Begins With An
Axiomatic Treatment Of Probability Followed By Chapters On Discrete
And Continuous Random Variables And Their Associated Distributions.
It Then Introduces Basic Statistical Concepts Including Summarizing
Data And Interval Parameter Estimation, Stressing The Connection
Between Probability And Statistics. Final Chapters Introduce
Hypothesis Testing, Regression, And Non-Parametric Techniques. All
Chapters Provide A Balance Between Conceptual Understanding And
Theoretical Understanding Of The Topics At Hand. Key Features Of
Essentials Of Mathematical Statistics: - End-Of-Section Exercises
Range From Computational To Conceptual To Theoretical. - Many
Sections Include A Sub-Section Titled "Software Calculations" Which
Gives Detailed Descriptions Of How To Perform The Calculations
Discussed In The Section Using The Software Minitab, R, Excel, And
The TI-83/84 Calculators. - Provides A Clear Balance Between
Conceptual Understanding And Theoretical Understanding - Exercises
Throughout Vary In Level Of Difficulty And Scope.
General
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