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제1 장 통계학의 이해
1.1 통계학의 의미 ······························································································· 3 1.2 통계학의 분류 ······························································································· 4 1.3 모집단과 표본 ······························································································· 7 1.4 데이터 마이닝 ····························································································· 13 4차 산업혁명 _ 13 빅데이터 _ 15 비즈니스 분석론 _ 16 인공지능 _ 19 데이터 마이닝 _ 20 ▶ 연습문제 ········································································································· 22 제2 장 기술통계학Ⅰ：데이터의 정리 및 표현 2.1 데이터의 종류 ····························································································· 27 범주 데이터와 수치 데이터 _ 28 이산 데이터와 연속 데이터 _ 29 단변수 데이터와 다변수 데이터 _ 30 2.2 측정척도의 형태 ························································································· 32 명목척도 _ 32 서열척도 _ 33 구간척도 _ 34 비율척도 _ 34 2.3 도수분포표 ·································································································· 36 기본 개념 _ 36 도수분포표의 그래프 _ 37 2.4 범주 데이터의 정리 ···················································································· 37 도수분포표 _ 37 도수분포표의 그래프 _ 40 2.5 수치 데이터의 정리：이산 데이터 ····························································· 45 도수분포표 _ 45 도수분포표의 그래프 _ 46 2.6 수치 데이터의 정리：연속 데이터 ····························································· 47 도수분포표의 그래프 _ 50 2.7 EXCEL 활용 ································································································ 53 ▶ 연습문제 ········································································································· 64 제3장 기술통계학Ⅱ：요약통계량 3.1 중심경향의 측정치 ······················································································ 73 산술평균 _ 74 중앙치 _ 75 최빈치 _ 76 평균, 중앙치, 최빈치의 비교 _ 77 3.2 산포의 측정치 ····························································································· 78 범위 _ 80 중간범위 _ 81 평균절대편차 _ 82 분산과 표준편차 _ 83 Chebyshev의 정리 _ 88 변동계수 _ 90 3.3 상대위치의 측정치 ······················································································ 91 백분위수 _ 92 사분위수 _ 93 Z 값 _ 94 3.4 형태의 측정치 ····························································································· 97 비대칭도 _ 97 첨도 _ 99 3.5 EXCEL 활용 ·······························································································100 ▶ 연습문제 ········································································································108 제4장 확률이론 4.1 사상과 표본공간 ························································································113 4.2 집합이론 ····································································································118 집합의 개념 _ 118 집합의 종류 _ 119 4.3 확률의 정의 ·······························································································124 고전적 방법 _ 125 상대도수 방법 _ 125 주관적 방법 _ 127 4.4 확률의 공리 ·······························································································127 4.5 확률의 연산법칙 ························································································129 덧셈법칙 _ 129 조건확률 _ 132 곱셈법칙 _ 140 4.6 Bayes 정리 ································································································142 개념 _ 142 표의 이용 _ 144 4.7 EXCEL 활용 ·······························································································146 ▶ 연습문제 ········································································································147 제5장 확률변수와 확률분포 5.1 확률변수 ····································································································155 5.2 확률분포 ····································································································157 이산확률분포 _ 158 연속확률분포 _ 160 5.3 확률함수 ····································································································161 확률질량함수 _ 162 확률밀도함수 _ 164 5.4 확률변수의 기대값과 분산 ·········································································167 기대값의 의미 _ 167 기대값의 특성 _ 168 분산 _ 169 5.5 결합확률분포 ·····························································································173 결합확률분포의 개념 _ 173 조건확률 _ 175 두 변수의 독립성 _ 176 5.6 공분산과 상관계수 ·····················································································177 공분산 _ 177 상관계수 _ 179 5.7 EXCEL 활용 ·······························································································180 ▶ 연습문제 ········································································································184 제6장 확률분포Ⅰ：이산확률분포 6.1 베르누이 시행 ····························································································191 6.2 이항분포 ····································································································192 이항 확률질량함수의 이용 _ 193 이항확률표의 이용 _ 195 6.3 이항분포의 형태 ························································································197 6.4 이항분포의 기대값과 분산 ·········································································199 6.5 포아송분포 ·································································································202 개념 _ 202 포아송 확률질량함수의 이용 _ 203 포아송 분포표의 이용 _ 204 6.6 초기하분포 ·································································································206 개념 _ 206 초기하분포의 확률질량함수 _ 207 6.7 EXCEL 활용 ·······························································································209 ▶ 연습문제 ········································································································211 제7장 확률분포Ⅱ：연속확률분포 7.1 확률밀도함수 ·····························································································217 7.2 정규분포 ····································································································219 정규분포의 사용 _ 219 정규곡선의 형태 _ 219 정규곡선의 특성 _ 220 7.3 표준정규분포 ·····························································································224 정의 _ 224 표준정규분포표의 이용 _ 230 정규분포의 응용 예 _ 238 7.4 이항분포의 정규근사 ·················································································241 7.5 지수분포 ····································································································243 개념 _ 243 지수분포의 확률 _ 245 7.6 EXCEL 활용 ·······························································································247 ▶ 연습문제 ········································································································252 제8장 표본분포 8.1 표본추출 ····································································································259 표본조사의 필요성 _ 259 표본오차와 비표본오차 _ 260 8.2 표본추출 과정 ····························································································262 8.3 표본추출 방법 ····························································································263 확률 추출방법 _ 264 비확률 추출방법 _ 266 8.4 표본분포 ····································································································266 8.5 평균의 표본분포：복원추출 ······································································269 개념 _ 269 평균의 표본분포의 기대값과 분산 _ 273 평균의 표준오차 _ 275 8.6 평균의 표본분포：비복원추출 ··································································277 8.7 중심극한정리 ·····························································································281 표본크기의 영향 _ 281 모집단이 정규분포를 따를 때 _ 282 모집단이 정규분포를 따르지 않을 때 _ 284 8.8 비율의 표본분포 ························································································287 개념 _ 287 비율의 표본분포의 기대값과 표준편차 _ 289 이항분포의 정규근사 _ 292 유한 모집단에서의 표본비율의 표준편차 _ 293 8.9 EXCEL 활용 ·······························································································294 ▶ 연습문제 ········································································································298 제9장 통계적 추정：한 모집단 9.1 점추정과 구간추정 ·····················································································305 9.2 추정량의 결정기준 ·····················································································306 불편성 _ 307 효율성 _ 308 일관성 _ 309 충족성 _ 310 9.3 신뢰구간 추정 ····························································································311 개념 _ 311 오차율 _ 313 9.4 모평균의 신뢰구간 ·····················································································314 모표준편차를 아는 경우 _ 314 모표준편차를 모르는 경우：소표본 _ 320 9.5 t 분포 ·········································································································320 모표준편차를 모르는 경우：대표본 _ 327 9.6 모비율의 신뢰구간 ·····················································································329 9.7 표본크기 결정 ····························································································331 모평균 추정 _ 331 모비율 추정 _ 334 9.8 모분산의 신뢰구간 ·····················································································336 χ2 분포의 특성 _ 337 모분산의 신뢰구간 _ 341 9.9 EXCEL 활용 ·······························································································344 ▶ 연습문제 ········································································································348 제10장 가설검정：한 모집단 10.1 가설검정 ····································································································355 가설의 의미와 종류 _ 355 가설의 설정 _ 356 가설의 형태 _ 358 가설검정의 오류 _ 360 결정규칙 _ 362 가설검정의 순서 _ 366 10.2 모평균의 가설검정 ·····················································································367 모표준편차를 아는 경우 _ 368 모표준편차를 모르는 경우 _ 378 10.3 모비율의 가설검정 ·····················································································383 10.4 모분산의 가설검정 ·····················································································387 10.5 EXCEL 활용 ·······························································································390 ▶ 연습문제 ········································································································395 제11장 통계적 추정과 가설검정：두 모집단 11.1 표본의 독립성과 종속성 ············································································403 11.2 두 표본평균 차이의 표본분포 ····································································404 11.3 두 모평균 차이에 대한 추정과 검정 ··························································406 독립표본 _ 406 대응표본 _ 414 11.4 두 모비율 차이에 대한 추정과 검정 ··························································418 11.5 두 모분산 비율에 대한 추정과 검정 ··························································423 F 분포 _ 423 두 모분산 비율의 추정 _ 427 두 모분산 비율의 검정 _ 428 11.6 EXCEL 활용 ·······························································································431 ▶ 연습문제 ········································································································438 제12장 분산분석 12.1 분산분석의 의미 ························································································447 12.2 실험설계의 기본 개념 ················································································448 12.3 분산분석의 기본 원리 ················································································450 12.4 일원배치법：반복 수가 같은 경우 ····························································452 12.5 이원배치법：반복없는 경우 ······································································462 12.6 이원배치법：반복 있는 경우 ·····································································468 12.7 EXCEL 활용 ·······························································································475 ▶ 연습문제 ········································································································480 제13장 회귀분석과 상관분석 13.1 회귀분석과 상관분석 ·················································································487 13.2 산포도 ········································································································488 13.3 단순선형회귀모델 ······················································································491 확정적 모델과 확률적 모델 _ 491 모집단 단순회귀모델 _ 492 표본 회귀모델 _ 494 오차항에 대한 가정 _ 496 13.4 최소자승법 ·································································································498 13.5 표본회귀선의 적합도 검정 ·········································································502 13.6 상관분석 ····································································································510 공분산 _ 510 상관계수 _ 512 13.7 표본회귀선의 유의성 검정 ·········································································515 13.8 종속변수 Y 의 추정과 예측 ········································································520 13.9 EXCEL 활용 ·······························································································526 ▶ 연습문제 ········································································································534 제14장 다중회귀분석 14.1 다중회귀모델 ·····························································································541 다중선형회귀모델 _ 541 다중회귀모델의 가정 _ 543 14.2 최소자승법 ·································································································544 14.3 다중표본회귀식의 적합도 검정 ·································································546 추정치의 표준오차 _ 546 결정계수 _ 548 14.4 다중회귀모델에 대한 유의성 검정 ·····························································550 F 검정 _ 550 t 검정 _ 552 14.5 종속변수 Y 의 예측 ····················································································555 14.6 범주적 독립변수 ························································································557 ▶ 연습문제 ········································································································561 제15장 χ2 검정과 비모수통계학 15.1 모수통계학과 비모수통계학 ······································································569 15.2 모집단 분포의 적합도 검정 ·······································································570 모비율의 검정 _ 571 모집단 분포의 검정 _ 575 15.3 두 변수 간의 독립성 검정 ··········································································580 15.4 EXCEL 활용 ·······························································································584 ▶ 연습문제 ········································································································586 부표 A. 이항분포표 ··································································································· 592 B. e-μ의 값 ······································································································· 595 C. 포아송분포표 ······························································································· 596 D. 표준정규분포표 ···························································································· 598 E. 난수표 ··········································································································· 599 F. t 분포표 ········································································································· 600 G. χ2분포표 ······································································································ 601 H. F 분포표 ······································································································· 603 ◈ 영문색인 ················································································································ 607 ◈ 국문색인 ················································································································ 612 |
저자 소개 1
서울대학교 상과대학 경제학과 졸업
한국산업은행 조사부 근무
University of Nebraska 대학원 졸업(경제학석사)
University of Nebraska 대학원 졸업(경영학박사, Ph.D.)
아주대학교 경영대학 부교수
한국경영학회 이사
한국경영과학회 이사
성균관대학교 경영학부 교수 역임
저서
EXCEL 경영학연습(형설출판사, 1999)
알기쉬운 생산·운영관리(도서출판 오래, 2011, 공저)
품질경영(박영사, 제4판, 2011)
알기쉬운 통계학(도서출판 오래, 제2개정판 2012, 공저)
고객만족을 위한 의료서비스의 실천(도서출판 오래, 201
서울대학교 상과대학 경제학과 졸업
한국산업은행 조사부 근무
University of Nebraska 대학원 졸업(경제학석사)
University of Nebraska 대학원 졸업(경영학박사, Ph.D.)
아주대학교 경영대학 부교수
한국경영학회 이사
한국경영과학회 이사
성균관대학교 경영학부 교수 역임
저서
EXCEL 경영학연습(형설출판사, 1999)
알기쉬운 생산·운영관리(도서출판 오래, 2011, 공저)
품질경영(박영사, 제4판, 2011)
알기쉬운 통계학(도서출판 오래, 제2개정판 2012, 공저)
고객만족을 위한 의료서비스의 실천(도서출판 오래, 2014, 공저)
글로벌시대의 경영학(도서출판 오래, 2014, 공저)
비즈니스 분석론(박영사, 2020)
EXCEL경영과학(박영사, 제6판, 2022)
4차 산업혁명 시대의 생산운영관리(박영사, 제5개정판, 2023)
4차 산업혁명 시대의 EXCEL 활용 통계학(박영사, 제5판, 2023)
한국산업은행 조사부 근무
University of Nebraska 대학원 졸업(경제학석사)
University of Nebraska 대학원 졸업(경영학박사, Ph.D.)
아주대학교 경영대학 부교수
한국경영학회 이사
한국경영과학회 이사
성균관대학교 경영학부 교수 역임
저서
EXCEL 경영학연습(형설출판사, 1999)
알기쉬운 생산·운영관리(도서출판 오래, 2011, 공저)
품질경영(박영사, 제4판, 2011)
알기쉬운 통계학(도서출판 오래, 제2개정판 2012, 공저)
고객만족을 위한 의료서비스의 실천(도서출판 오래, 2014, 공저)
글로벌시대의 경영학(도서출판 오래, 2014, 공저)
비즈니스 분석론(박영사, 2020)
EXCEL경영과학(박영사, 제6판, 2022)
4차 산업혁명 시대의 생산운영관리(박영사, 제5개정판, 2023)
4차 산업혁명 시대의 EXCEL 활용 통계학(박영사, 제5판, 2023)
강금식의 다른 상품
품목정보
- 발행일
- 2023년 06월 23일
- 쪽수, 무게, 크기
- 628쪽 | 1073g | 188*257*35mm
- ISBN13
- 9791130317663
출판사 리뷰
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지금 세계는 공포 속에서 불안에 떨면서 살아가고 있다. 러시아는 우크라이나를 침공하여 전쟁이 진행 중이고 미국은 중국과 사생결단의 패권경쟁에 여념이 없어 중국 경제는 쇠락의 길로 달려가는 듯하다.
이런 와중에 북한은 미국과 한국을 위협하면서 걸핏하면 미사일을 쏘아대고 있다. 국내적으로는 지금 경제가 엉망으로 치닫고 있다. 중국에 대한 수출이 부진하고 침체 속에서 물가는 올라 이를 잡으려고 미국 따라 금리를 인상하고 있다. 한국 경제는 상당기간 침체의 늪에서 헤어나기 어려울 듯하다. 이러한 내우외환 속에서 기업경영을 담당하는 경영자들은 참으로 고초가 많을 것 같다. 불확실하고 불안정한 환경에서 의사결정하기가 무척 힘들 것이다. 이러한 상태에서도 경영자들은 빠르고 현명한 의사결정에 전념해야 할 것이다. 기업들은 그동안 발전해 오면서 가격(효율), 품질, 스피드, 이노베이션 등을 통해 경쟁해 왔다. 그러나 이제는 4차 산업혁명이 진행하면서 쏟아져나오는 빅데이터를 분석하여 얻는 지식, 정보, 통찰력 등을 통한 데이터 기반 의사결정을 신속하게 하면서 경쟁력을 강화하고 있는 추세이다. 통계학과 데이터 마이닝, 경영과학과 비즈니스 분석론이 각광을 받는 이유가 바로 여기에 있다. 이번 개정판을 손질하는 데 있어서 4차 산업혁명에 관한 내용과 빅데이터가 통계학의 여러 분야에 미치는 영향에 관한 내용을 보완하였다. 통계문제를 푸는 데는 Excel의 활용이 중요하다. 이제는 손 사용 문제풀이 다음에 바로 Excel 활용문제풀이를 연속함으로써 두 가지 방법을 동시에 공부할 수 있도록 하였다. 독자들은 연습문제에 대한 손 사용 방법과 Excel 활용 방법을 출판사 박영사의 HomePage에 접속하여 다운로드 받아 활용하기 바란다. 한편 이 책을 교재로 사용하시는 강사님들은 이러한 해답집 외에 PowerPoint를 사용하여 만든 강의안을 다운로드하여 이용하시기 바란다. 끝으로 본 개정판이 출판되기까지 많은 분들의 배려와 수고가 있었다. 우선 박영사의 안종만 회장님의 협조와 배려에 감사하다는 인사를 전하고자 한다. 또한 시간이 촉박한 가운데도 열정과 노력을 아낌없이 쏟아 부은 편집부의 전채린 차장께 심심한 사의를 표하고자 한다. 2023. 5. 29. 강금식 |
