Introduction to statistics : Using interactive MM*Stat elements / Wolfgang Karl Hardle, Sigbert Klinke ands Bernd Ronz
Material type:
- 9783319177038
- QA 276.12 .I58 2015

Item type | Current library | Home library | Collection | Call number | Copy number | Status | Date due | Barcode | |
---|---|---|---|---|---|---|---|---|---|
![]() |
National University - Manila | LRC - Annex General Circulation | Gen. Ed. - CBA | GC QA 276.12 .I58 2015 (Browse shelf(Opens below)) | c.1 | Available | NULIB000013150 |
Browsing LRC - Annex shelves, Shelving location: General Circulation, Collection: Gen. Ed. - CBA Close shelf browser (Hides shelf browser)
![]() |
![]() |
![]() |
![]() |
![]() |
No cover image available | No cover image available | ||
GC HM 1261 .B83 2014 The empathic leader : an effective management model / | GC HM 263 .B47 1952 Public relations / | GC QA 76.9.S63 .S64 2014 Soft-computing in capital market / | GC QA 276.12 .I58 2015 Introduction to statistics : Using interactive MM*Stat elements / | GC QA 531 .L53 2009 Trigonometry / | GC QC 21 .H56 1997 Conceptual physics / | GC TA 31 .O74 1973 Organizational systems : general systems approaches to complex organizations / |
Chapter1. Basics -- Chapter2. One-Dimensional Frequency Distributions -- Chapter3. Probability Theory -- Chapter4.Combinatorics -- Chapter5. Random Variables -- Chapter6. Probability Distributions -- Chapter7. Sampling Theory -- Chapter8. Estimation -- Chapter9. Statistical Tests -- Chapter10. Two-dimensional Frequency Distribution -- Chapter11. Regression -- Chapter12. Time Series Analysis .
MM*Stat, together with its enhanced online version with interactive examples, offers a flexible tool that facilitates the teaching of basic statistics. It covers all the topics found in introductory descriptive statistics courses, including simple linear regression and time series analysis, the fundamentals of inferential statistics (probability theory, random sampling and estimation theory), and inferential statistics itself (confidence intervals, testing). Each chapter starts with the necessary theoretical background, which is followed by a variety of examples. The core examples are based on the content of the respective chapter, while the advanced examples, designed to deepen students? knowledge, also draw on information and material from previous chapters. The enhanced online version helps students grasp the complexity and the practical relevance of statistical analysis through interactive examples and is suitable for undergraduate and graduate students taking their first statistics courses, as well as for undergraduate students in non-mathematical fields, e.g. economics, the social sciences etc.
There are no comments on this title.