앤더슨의 경영통계학 (8 판)

앤더슨의 경영통계학 (8 판)

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Description
이 책은 Essentials of Modern Business Statistics with MicrosoftⓇ ExcelⓇ의 8판이다.

이번 판에서는 두 명의 저명한 학자인 Cincinnati 대학의 Michael J. Fry와 Iowa 대학의 Jeffrey W. Ohlmann이 저자로 참여하였다.

두 분 모두 통계 및 비즈니스 분석 분야에서 뛰어난 교수이자, 연구원, 실무자이다. 그들의 업적을 저자소개 부분에 자세히 기술하였다.

Mike와 Jeff가 공동저자로 참여하면서 Essentials of Modern Business Statistics with Microsoft Excel의 효용성이 높아졌을 것으로 기대한다.

이 책은 경영학 및 경제학 분야의 학생들에게 통계에 대한 개념과 다양한 응용 사례를 소개하는 것이 목적이며, 수학적 지식이 부족한 독자들을 대상으로 서술되었다.

데이터 분석 및 통계 방법론은 이 책의 핵심적인 부분이다. 활용사례에서 각 방법에 대한 논의와 전개가 이루어지며 의사결정 및 문제 해결에 대한 통찰력을 제공하는 통계적 결과가 함께 제공된다.

이 책은 응용 중심으로 이루어져 있지만, 방법론에 대한 자세한 설명을 제공함과 동시에 각 주제에서 일반적으로 통용되는 표기법을 사용하려고 노력하였다.

따라서 학생들에게는 이 책이 고급 통계학을 공부하기 위한 좋은 준비서가 될 것이다. 또한, 심도 있는 공부에 도움이 되는 참고문헌은 부록에 수록하였다.
저자

Anderson

대표작으로 『앤더슨의 경영통계학』이/가 있다.

목차

Chapter 1 자료와 통계학
블룸버그 비즈니스위크 - NEW YORK, NEW YORK················4
1 경영 및 경제 분야에서의 활용············································5
 1. 회계············································································5
 2. 재무············································································6
 3. 마케팅 ········································································6
 4. 생산운영관리·································································6
 5. 경제············································································6
 6. 정보시스템···································································7
2 자료·················································································7
 1. 원소, 변수, 관측값 ·························································7
 2. 측정을 위한 척도····························································9
 3. 범주형 자료와 양적 자료················································ 10
 4. 횡단면 자료와 시계열 자료·············································· 10
3 자료의 출처···································································· 13
 1. 현존하는 자료······························································ 13
 2. 관측연구···································································· 15
 3. 실험·········································································· 15
 4. 시간과 비용 이슈·························································· 16
 5. 자료 수집 오류····························································· 16
4 기술통계········································································ 16
5 통계적 추론···································································· 18
6 엑셀을 활용한 통계분석···················································20
 1. 데이터 세트와 엑셀 워크시트··········································· 20
 2. 통계분석에서의 엑셀 활용··············································· 21
7 애널리틱스·····································································22
8 빅데이터와 데이터 마이닝················································23
9 통계분석을 위한 윤리적 지침···········································24
 요점정리··································································· 26
 보충문제··································································· 26
Chapter 2 기술통계: 표와 그래프를 이용한 표현
콜게이트-NEW YORK, NEW YORK·····································34
1 범주형 자료 요약·····························································35
 1. 도수분포표································································· 35
 2. 상대도수분포표와 백분율도수분포표································· 36
 3. 엑셀을 활용한 도수분포표, 상대도수분포표, 백분율도수분포표 작성 ········································································· 37
 4. 막대그래프와 원그래프·················································· 38
 5. 엑셀을 활용한 막대그래프 작성········································ 40
 연습문제··································································· 42
2 양적 자료 요약································································44
 1. 도수분포표································································· 44
 2. 상대도수분포표와 백분율도수분포표································· 46
 3. 엑셀을 활용한 도수분포표 작성········································ 46
 4. 점그래프···································································· 48
 5. 히스토그램································································· 49
 6. 엑셀을 활용한 히스토그램 작성········································ 50
 7. 누적도수분포······························································· 52
 8. 줄기-잎 그림······························································· 53
 연습문제··································································· 56
3 표를 이용한 두 변수 자료 요약 ········································· 59
 1. 교차표 ······································································ 59
 2. 엑셀 피봇 테이블을 활용한 교차표 작성······························ 61
 3. 심슨의 역설 ································································ 63
 연습문제··································································· 64
4 그래프를 이용한 두 변수 자료 요약···································66
 1. 산점도와 추세선··························································· 66
 2. 엑셀을 활용한 산점도와 추세선 작성································· 68
 3. 묶은 막대그래프와 누적 막대그래프 ································· 70
 4. 엑셀을 활용한 묶은 막대그래프와 누적 막대그래프 작성········· 72
 연습문제··································································· 73
5 자료 시각화: 효과적인 자료 시각화 방안 ·························· 75
 1. 효과적인 그래프 표현 방법·············································· 75
 2. 그래프 표현 형식 선택··················································· 76
 3. 데이터 대시보드··························································· 77
 4. 자료