4차 산업혁명 시대의 Excel 활용 통계학
박영사
2023년 09월 18일 출간
국내도서 : 2023년 06월 23일 출간
(개의 리뷰)
(
0%
의 구매자)
- eBook 상품 정보
- 파일 정보 PDF (110.25MB)
- ISBN 9791130380483
- 지원기기 교보eBook App, PC e서재, 리더기, 웹뷰어
-
교보eBook App
듣기(TTS) 가능
TTS 란?텍스트를 음성으로 읽어주는 기술입니다.
- 전자책의 편집 상태에 따라 본문의 흐름과 다르게 텍스트를 읽을 수 있습니다.
- 이미지 형태로 제작된 전자책 (예 : ZIP 파일)은 TTS 기능을 지원하지 않습니다.
PDF 필기가능 (Android, iOS)
소득공제
소장
정가 : 36,000원
쿠폰적용가 32,400원
10% 할인 | 5%P 적립이 상품은 배송되지 않는 디지털 상품이며,
교보eBook앱이나 웹뷰어에서 바로 이용가능합니다.
카드&결제 혜택
- 5만원 이상 구매 시 추가 2,000P
- 3만원 이상 구매 시, 등급별 2~4% 추가 최대 416P
- 리뷰 작성 시, e교환권 추가 최대 200원
작품소개
이 상품이 속한 분야
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
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
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
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
작가정보
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)
이 상품의 총서
Klover리뷰 (0)
Klover리뷰 안내
Klover(Kyobo-lover)는 교보를 애용해 주시는 고객님들이 남겨주신 평점과 감상을 바탕으로, 다양한 정보를 전달하는 교보문고의 리뷰 서비스입니다.
1. 리워드 안내
구매 후 90일 이내에 평점 작성 시 e교환권 100원을 적립해 드립니다.
- - e교환권은 적립일로부터 180일 동안 사용 가능합니다.
- - 리워드는 1,000원 이상 eBook, 오디오북, 동영상에 한해 다운로드 완료 후 리뷰 작성 시 익일 제공됩니다. (5,000원 이상 상품으로 변경 예정, 2024년 9월 30일부터 적용)
- - 리워드는 한 상품에 최초 1회만 제공됩니다.
- - sam 이용권 구매 상품 / 선물받은 eBook은 리워드 대상에서 제외됩니다.
2. 운영 원칙 안내
Klover리뷰를 통한 리뷰를 작성해 주셔서 감사합니다. 자유로운 의사 표현의 공간인 만큼 타인에 대한 배려를 부탁합니다. 일부 타인의 권리를 침해하거나 불편을 끼치는 것을 방지하기 위해 아래에 해당하는 Klover 리뷰는 별도의 통보 없이 삭제될 수 있습니다.
- 도서나 타인에 대해 근거 없이 비방을 하거나 타인의 명예를 훼손할 수 있는 리뷰
- 도서와 무관한 내용의 리뷰
- 인신공격이나 욕설, 비속어, 혐오 발언이 개재된 리뷰
- 의성어나 의태어 등 내용의 의미가 없는 리뷰
구매 후 리뷰 작성 시, e교환권 100원 적립
문장수집
문장수집 안내
문장수집은 고객님들이 직접 선정한 책의 좋은 문장을 보여 주는 교보문고의 새로운 서비스 입니다. 교보eBook 앱에서 도서 열람 후 문장 하이라이트 하시면 직접 타이핑 하실 필요 없이 보다 편하게 남길 수 있습니다. 마음을 두드린 문장들을 기록하고 좋은 글귀들은 ‘좋아요’ 하여 모아보세요. 도서 문장과 무관한 내용 등록 시 별도 통보없이 삭제될 수 있습니다.
리워드 안내
- 구매 후 90일 이내에 문장 수집 등록 시 e교환권 100원을 적립해 드립니다.
- e교환권은 적립일로부터 180일 동안 사용 가능합니다.
- 리워드는 1,000원 이상 eBook에 한해 다운로드 완료 후 문장수집 등록 시 제공됩니다. (5,000원 이상 eBook으로 변경 예정, 2024년 9월 30일부터 적용)
- 리워드는 한 상품에 최초 1회만 제공됩니다.
- sam 이용권 구매 상품 / 선물받은 eBook / 오디오북·동영상 상품/주문취소/환불 시 리워드 대상에서 제외됩니다.
구매 후 문장수집 작성 시, e교환권 100원 적립
교보eBook 첫 방문을 환영 합니다!
신규가입 혜택 지급이 완료 되었습니다.
바로 사용 가능한 교보e캐시 1,000원 (유효기간 7일)
지금 바로 교보eBook의 다양한 콘텐츠를 이용해 보세요!
신간 알림 안내
4차 산업혁명 시대의 Excel 활용 통계학
웹툰 신간 알림이 신청되었습니다.
신간 알림 안내
4차 산업혁명 시대의 Excel 활용 통계학
웹툰 신간 알림이 취소되었습니다.
리뷰작성
- 구매 후 90일 이내 작성 시, e교환권 100원 (최초1회)
- 리워드 제외 상품 : 마이 > 라이브러리 > Klover리뷰 > 리워드 안내 참고
- 콘텐츠 다운로드 또는 바로보기 완료 후 리뷰 작성 시 익일 제공
감성 태그
가장 와 닿는 하나의 키워드를 선택해주세요.
사진 첨부(선택)
0 / 5
총 5MB 이하로 jpg,jpeg,png 파일만 업로드 가능합니다.
신고/차단
신고 사유를 선택해주세요.
신고 내용은 이용약관 및 정책에 의해 처리됩니다.
허위 신고일 경우, 신고자의 서비스 활동이 제한될 수
있으니 유의하시어 신중하게 신고해주세요.
이 글을 작성한 작성자의 모든 글은 블라인드 처리 됩니다.
문장수집 작성
구매 후 90일 이내 작성 시, e교환권 100원 적립
eBook 문장수집은 웹에서 직접 타이핑 가능하나, 모바일 앱에서 도서를 열람하여 문장을 드래그하시면 직접 타이핑 하실 필요 없이 보다 편하게 남길 수 있습니다.
P.
4차 산업혁명 시대의 Excel 활용 통계학
저자 모두보기
저자(글)
낭독자 모두보기
sam 이용권 선택
님이 보유하신 이용권입니다.
차감하실 sam이용권을 선택하세요.
차감하실 sam이용권을 선택하세요.
sam 이용권 선택
님이 보유하신 이용권입니다.
차감하실 sam이용권을 선택하세요.
차감하실 sam이용권을 선택하세요.
sam 이용권 선택
님이 보유하신 프리미엄 이용권입니다.
선물하실 sam이용권을 선택하세요.
선물하실 sam이용권을 선택하세요.
결제완료
e캐시 원 결제
계속 하시겠습니까?
교보 e캐시 간편 결제
sam 열람권 선물하기
-
보유 권수 / 선물할 권수0권 / 1권
-
받는사람 이름받는사람 휴대전화
- 구매한 이용권의 대한 잔여권수를 선물할 수 있습니다.
- 열람권은 1인당 1권씩 선물 가능합니다.
- 선물한 열람권이 ‘미등록’ 상태일 경우에만 ‘열람권 선물내역’화면에서 선물취소 가능합니다.
- 선물한 열람권의 등록유효기간은 14일 입니다.
(상대방이 기한내에 등록하지 않을 경우 소멸됩니다.) - 무제한 이용권일 경우 열람권 선물이 불가합니다.
이 상품의 총서 전체보기
네이버 책을 통해서 교보eBook 첫 구매 시
교보e캐시 지급해 드립니다.
교보e캐시 지급해 드립니다.
- 첫 구매 후 3일 이내 다운로드 시 익일 자동 지급
- 한 ID당 최초 1회 지급 / sam 이용권 제외
- 네이버 책을 통해 교보eBook 구매 이력이 없는 회원 대상
- 교보e캐시 1,000원 지급 (유효기간 지급일로부터 7일)
구글바이액션을 통해서 교보eBook
첫 구매 시 교보e캐시 지급해 드립니다.
첫 구매 시 교보e캐시 지급해 드립니다.
- 첫 구매 후 3일 이내 다운로드 시 익일 자동 지급
- 한 ID당 최초 1회 지급 / sam 이용권 제외
- 구글바이액션을 통해 교보eBook 구매 이력이 없는 회원 대상
- 교보e캐시 1,000원 지급 (유효기간 지급일로부터 7일)