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000005149148
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20250610154154
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ta
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250516s2022 sz a b 001c0 eng d
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020
▼a 9783319834566
▼q (softcover) -
020
▼a 3319834568
▼q (softcover) -
020
▼a 9783319461601
▼q (hardcover) -
020
▼a 3319461605
▼q (hardcover) -
020
▼z 9783319461625
▼q (eBook) -
020
▼z 3319461621
▼q (eBook) -
035
▼a (KERIS)BIB000014635144
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040
▼a 224010
▼c 224010
▼d 211070 -
050
▼a QA276
-
090
▼a QA276
▼b H593 -
245
▼a Introduction to statistics and data analysis :
▼b with exercises, solutions and applications in R /
▼d Christian Heumann,
▼e Michael Schomaker,
▼e Shalabh -
250
▼a 2nd ed.
-
260
▼a Cham, Switzerland:
▼b Springer,
▼c 2022 -
300
▼a 456 p. :
▼b illustrations ;
▼c 24 cm -
504
▼a Includes bibliographical references and index
-
505
▼a Part I Descriptive Statistics: Introduction and Framework -- Frequency Measures and Graphical Representation of Data -- Measures of Central Tendency and Dispersion -- Association of Two Variables -- Part I Probability Calculus: Combinatorics -- Elements of Probability Theory -- Random Variables -- Probability Distributions -- Part III Inductive Statistics: Inference -- Hypothesis Testing -- Linear Regression -- Part IV Appendices: Introduction to R -- Solutions to Exercises -- Technical Appendix -- Visual Summaries
-
520
▼a This introductory statistics textbook conveys the essential concepts and tools needed to develop and nurture statistical thinking. It presents descriptive, inductive and explorative statistical methods and guides the reader through the process of quantitative data analysis. In the experimental sciences and interdisciplinary research, data analysis has become an integral part of any scientific study. Issues such as judging the credibility of data, analyzing the data, evaluating the reliability of the obtained results and finally drawing the correct and appropriate conclusions from the results are vital. 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
-
650
▼a Mathematical statistics
-
650
▼a R (Computer program language)
-
700
▼a Heumann, Christian,
▼d 1962-,
▼e author -
700
▼a Schomaker, Michael,
▼e author -
700
▼a Shalabh,
▼e author -
950
▼b $74.99
-
991
▼a 단행본
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상세정보
Introduction to statistics and data analysis : with exercises, solutions and applications in R 2nd ed
QR코드| 자료유형 : | 단행본 |
|---|---|
| ISBN : | 9783319834566 |
| ISBN : | 3319834568 |
| ISBN : | 9783319461601 |
| ISBN : | 3319461605 |
| ISBN : | |
| ISBN : | |
| 분류기호 : | QA276 |
| 서명/저자사항 : | Introduction to statistics and data analysis : with exercises, solutions and applications in R / Christian Heumann, Michael Schomaker, Shalabh |
| 판사항 : | 2nd ed. |
| 발행사항 : | Cham, Switzerland: Springer, 2022 |
| 형태사항 : | 456 p. : illustrations ; 24 cm |
| 서지주기 : | Includes bibliographical references and index |
| 내용주기 : | Part I Descriptive Statistics: Introduction and Framework -- Frequency Measures and Graphical Representation of Data -- Measures of Central Tendency and Dispersion -- Association of Two Variables -- Part I Probability Calculus: Combinatorics -- Elements of Probability Theory -- Random Variables -- Probability Distributions -- Part III Inductive Statistics: Inference -- Hypothesis Testing -- Linear Regression -- Part IV Appendices: Introduction to R -- Solutions to Exercises -- Technical Appendix -- Visual Summaries |
| 요약 : | This introductory statistics textbook conveys the essential concepts and tools needed to develop and nurture statistical thinking. It presents descriptive, inductive and explorative statistical methods and guides the reader through the process of quantitative data analysis. In the experimental sciences and interdisciplinary research, data analysis has become an integral part of any scientific study. Issues such as judging the credibility of data, analyzing the data, evaluating the reliability of the obtained results and finally drawing the correct and appropriate conclusions from the results are vital. 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 |
| 일반주제명 : | Mathematical statistics -- |
| 일반주제명 : | R (Computer program language) -- |
| 개인저자 : | Heumann, Christian, 1962-, author |
| 개인저자 : | Schomaker, Michael, author |
| 개인저자 : | Shalabh, author |
| 언어 | 영어 |
예약
- 1. 예약현황은 홈페이지 로그인 후 예약 페이지에 확인 가능합니다.
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- 3. 기타 문의사항은 도서관에 문의 바랍니다.
무인예약대출
- 1. 무인예약대출 현황은 홈페이지 로그인 후 무인예약대출 페이지에 확인 가능합니다.
- 2. 무인예약대출자료 대출을 원하지 않는 경우에는 무인예약대출 페이지에서 신청 또는 접수상태인 경우만 취소할 수 있습니다.
- 3. 희망대출일은 신청일로부터 최대 1주일 까지 가능합니다.
- 4. 희망대출일을 선택하지 않은 경우 대출대기 통보 후 1주일까지 기기에서 대출가능합니다.
- 5. 기타 문의사항은 도서관에 문의 바랍니다.
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