Introduction and Framework. Christian Heumann, Michael Schomaker, Shalabh. Pages Frequency Measures and Graphical Representation of Data. Measures of Central Tendency and Dispersion. Association of Two Variables.
Elements of Probability Theory. Random Variables. Probability Distributions. Hypothesis Testing. Linear Regression. Back Matter Pages About this book Introduction This introductory statistics textbook conveys the essential concepts and tools needed to develop and nurture statistical thinking. The text is primarily intended for undergraduate students in disciplines like business administration, the social sciences, medicine, politics, macroeconomics, etc.
It features a wealth of examples, exercises and solutions with computer code in the statistical programming language R as well as supplementary material that will enable the reader to quickly adapt all methods to their own applications. About the authors Dr. To browse Academia. Skip to main content.
By using our site, you agree to our collection of information through the use of cookies. To learn more, view our Privacy Policy. Log In Sign Up. Add Social Profiles Facebook, Twitter, etc. Martin Buntinas. Unfollow Follow Unblock. Other Affiliations:. Approximation by Abel means and Tauberian Theorems in sequences spaces more. Pure Mathematics. Strong summability in Fr? Publication Date: Publication Name: Jat.
Fourier Series and JAT. Statistics for the sciences more. Publication Date: Statistics and technometrics. Convergent and bounded Ces? On a representation theorem of Goes for null sequences more. Applied Mathematics. On sectionally dense summability fields more. Products of sequence spaces and multipliers more.
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