경영/회계

앤더슨의경영통계학(8판)

Anderson · Sweeney · Williams 저 / 장영순 외 9인 역

고객평점
발행일2022.03.05
판형국배판변형
쪽수708
ISBN9791166471933
판매가격 39,000원
배송비결제주문시 결제

총 금액 : 0원

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[도서소개]

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.




[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 시각화 사례: 신시내티 동물원과 식물원 ······················ 78

 요점정리··································································· 80

 보충문제··································································· 81

 사례연구 1. 펠리칸 스토어············································· 84

 사례연구 2. 영화 개봉··················································· 85




Chapter 3 기술통계: 수리적 측도를 이용한 표현


스몰 프라이 디자인-SANTA ANA, CALIFORNIA··················90


1 위치 측도······································································· 91

 1. 평균·········································································· 91

 2. 중앙값······································································· 93

 3. 최빈값······································································· 94

 4. 엑셀을 활용한 평균, 중앙값, 최빈값 계산···························· 94

 5. 가중평균···································································· 95

 6. 기하평균···································································· 96

 7. 엑셀을 활용한 기하평균 계산··········································· 98

 8. 백분위수···································································· 98

 9. 사분위수···································································· 99

 10. 엑셀을 활용한 백분위수, 사분위수 계산·····························100

 연습문제································································· 102


2 변동성 측도·································································· 106

 1. 범위·········································································107

 2. 사분위 범위································································107

 3. 분산·········································································107

 4. 표준편차···································································109

 5. 엑셀을 활용한 표본분산, 표본표준편차 계산·······················109

 6. 변동계수···································································110

 7. 엑셀의 기술통계 도구 활용·············································111 

 연습문제································································· 112


3 분포의 형태, 상대 위치, 이상값 검출 측도·························115

 1. 분포의 형태································································115

 2. z-점수······································································116

 3. 체비셰프의 정리··························································117

 4. 경험적 법칙································································118

 5. 이상값 탐지································································119 

 연습문제································································· 120


4 다섯 수치 요약과 상자그림············································· 123

 1. 다섯 수치 요약····························································123

 2. 상자그림···································································123

 3. 엑셀을 활용한 상자그림 작성··········································124

 4. 상자그림을 이용한 비교분석···········································125

 5. 엑셀을 활용한 상자그림 비교분석····································125 

 연습문제································································· 127


5 두 변수 간의 연관성 측도··············································· 130

 1. 공분산······································································130

 2. 공분산의 해석·····························································132

 3. 상관계수 ··································································134

 4. 상관계수의 해석··························································135

 5. 엑셀을 활용한 표본공분산, 표본상관계수 계산····················136

 연습문제································································· 137


6 데이터 대시보드···························································· 139

 요점정리································································· 142

 보충문제································································· 143

 사례연구 1. 펠리칸 스토어··········································· 147

 사례연구 2. 영화개봉················································· 148

 사례연구 3. 헤븐리 초콜릿 웹사이트 상거래······················ 149

 사례연구 4. 아프리카 코끼리 개체 수······························ 150




Chapter 4 확률 입문


미 항공우주국-WASHINGTON, DC··································· 154


1 확률실험, 계산규칙과 확률 부여하기······························ 155

 1. 계산규칙, 조합, 순열····················································156

 2. 확률 부여하기·····························································160

 3. 켄터키 전력회사 프로젝트의 확률····································162

 연습문제································································· 163


2 사건과 확률·································································· 165

 연습문제································································· 166


3 확률의 기본 법칙··························································· 168

 1. 여사건······································································168

 2. 확률의 덧셈법칙··························································169 

 연습문제································································· 172


4 조건부 확률···································································174

 1. 독립사건···································································177

 2. 확률의 곱셈법칙··························································178 

 연습문제································································· 179


5 베이즈 정리···································································181

 1. 표 접근법··································································185 

 연습문제································································· 186

 요점정리································································· 187

 보충문제································································· 187

 사례연구 1. 해밀턴 카운티의 판사들······························· 190

 사례연구 2. 랍스 마켓················································· 192




Chapter 5 이산확률분포


선거 유권자 대기시간····························································196


1 확률변수······································································ 197

 1. 이산확률변수······························································197

 2. 연속확률변수······························································198

 연습문제································································· 198


2 이산확률분포······························································· 199

 연습문제································································· 202


3 기댓값과 분산······························································· 204

 1. 기댓값······································································204

 2. 분산·········································································204

 3. 엑셀을 활용한 기댓값, 분산, 표준편차 계산························205 

 연습문제································································· 206


4 이변량 분포, 공분산, 재무 포트폴리오····························· 208

 1. 경험적 이변량 이산확률분포···········································209

 2. 재무분야 응용·····························································211 

 요점정리································································· 215 

 연습문제································································· 215


5 이항확률분포·································································217

 1. 이항실험···································································217

 2. 마틴 의류가게 문제······················································219

 3. 엑셀을 활용한 이항분포의 확률 계산································223

 4. 이항분포의 기댓값과 분산··············································225

 연습문제································································· 225


6 포아송 확률분포··························································· 227

 1. 시간의 구간을 포함하는 예제··········································228

 2. 길이 또는 거리를 포함하는 예제······································229

 3. 엑셀을 활용한 포아송 분포의 확률 계산·····························229

 연습문제································································· 232

 요점정리································································· 233

 보충문제································································· 234

 사례연구-맥닐의 자동차 판매점····································· 236




Chapter 6 연속확률분포


프록터 & 갬블 -CINCINNATI, OHIO ·································· 240


1 균일확률분포·································································241

 1. 확률척도로서의 면적····················································243

 연습문제································································· 244


2 정규확률분포······························································· 246

 1. 정규곡선···································································246

 2. 표준정규확률분포························································248

 3. 정규확률분포의 확률 계산··············································253

 4. 그리어 타이어 사례······················································254

 5. 엑셀을 활용한 정규분포의 확률 계산································256

 연습문제································································· 258


3 지수확률분포································································261

 1. 지수확률분포의 확률 계산··············································262

 2. 포아송 분포와 지수분포의 관계·······································263

 3. 엑셀을 활용한 지수분포의 확률 계산································264

 연습문제································································· 265

 요점정리································································· 266

 보충문제································································· 266

 사례연구 1. 스페셜티 토이즈········································ 269

 사례연구 2. 겝하르트 일렉트로닉스································ 270




Chapter 7 표본추출과 표본분포


식량농업기구-ROME, ITALY··············································· 274


1 전자공업협회의 표본추출 문제······································· 276


2 표본의 선택·································································· 276

 1. 유한 모집단에서의 표본추출···········································277

 2. 무한 모집단에서의 표본추출···········································281

 연습문제································································· 283


3 점추정········································································· 284

 1. 실질적 적용································································285

 연습문제································································· 286


4 표본분포의 개념··························································· 288


5 x의 표본분포······························································· 291

 1. x의 기댓값·······························································291

 2. x의 표준편차·····························································292

 3. x의 표본분포 형태······················································293

 4. EAI 예제에서 x의 표본분포··········································295

 5. x의 표본분포의 실질적 가치··········································295

 6. 표본크기와 의 표본분포 간의 관계································297

 연습문제································································· 299


6 p의 표본분포······························································ 301

 1. p의 기댓값································································302

 2. p의 표준편차·····························································302

 3. p의 표본분포 형태······················································303

 4. p의 표본분포의 실질적 가치··········································304

 연습문제································································· 305


7 기타 표본추출 방법······················································· 308

 1. 층화무작위추출···························································308

 2. 군집추출···································································309

 3. 계통추출···································································310

 4. 편의추출···································································310

 5. 판단추출···································································311


8 실질적 적용: 빅데이터와 표본추출의 오차························311

 1. 표본오차···································································311

 2. 비표본오차································································312

 3. 빅데이터···································································314

 4. 빅데이터에 대한 이해···················································315

 5. 빅데이터가 표본오차에 미치는 영향·································315 

 연습문제································································· 318

 요점정리································································· 321

 보충문제································································· 322

 사례연구-마리온 유업················································· 325




Chapter 8 구간추정


푸드라이온-SALISBURY, NORTH CAROLINA·················· 328


1 모집단 평균: σ를 아는 경우············································ 329

 1. 오차범위와 구간추정치·················································329

 2. 엑셀 활용하기·····························································333

 3. 실질적 조언································································335

 연습문제································································· 335


2 모집단 평균: σ 를 모르는 경우········································ 337

 1. 오차범위와 구간추정치·················································340

 2. 엑셀 활용하기·····························································341

 3. 실질적 조언································································342

 4. 소표본 사용하기··························································343

 5. 구간추정 절차 요약······················································344

 연습문제································································· 345


3 표본크기의 결정···························································· 347

 연습문제································································· 349


4 모집단 비율·································································· 351

 1. 엑셀 활용하기·····························································352

 2. 표본크기의 결정··························································354

 연습문제································································· 356


5 실질적 적용: 빅데이터와 구간추정·································· 359

 1. 빅데이터와 신뢰구간의 정밀도········································359

 2. 빅데이터가 신뢰구간에 미치는 영향·································361

 연습문제································································· 362

 요점정리································································· 363

 보충문제································································· 364

 사례연구 1. Young Professional 잡지··························· 368

 사례연구 2. 걸프 부동산·············································· 369




Chapter 9 가설검정


존 모렐 앤 컴퍼니-CINCINNATI, OHIO································374


1 귀무가설과 대립가설의 설정·········································· 375

 1. 연구가설 성격인 대립가설··············································375

 2. 이의제기 가정인 귀무가설··············································376

 3. 귀무가설과 대립가설 형식 요약·······································377

 연습문제································································· 378


2 제1종 오류와 제2종 오류··············································· 379

 연습문제································································· 381


3 모집단 평균: σ 를 알고 있는 경우···································· 382

 1. 단측검정···································································382

 2. 양측검정···································································388

 3. 엑셀을 활용한 분석······················································391

 4. 요약 및 실질적 적용을 위한 조언·····································392

 5. 가설검정과 구간추정과의 관계········································393

 연습문제································································· 395


4 모집단 평균: σ 를 모르는 경우········································ 398

 1. 단측검정···································································399

 2. 양측검정···································································400

 3. 엑셀을 활용한 분석······················································401

 4. 요약 및 실질적 적용·····················································403

 연습문제································································· 404


5 모비율·········································································· 407

 1. 엑셀을 활용한 분석······················································409

 2. 요약 및 실질적 적용·····················································410

 연습문제································································· 411


6 실질적 적용: 빅데이터와 가설검정···································414

 1. 빅데이터, 가설검정, p- 값·············································414

 2. 가설검정에서 빅데이터의 영향········································415

 연습문제································································· 416

 요점정리································································· 417

 보충문제································································· 418

 사례연구 1. 품질협회················································· 421

 사례연구 2. 베이뷰대학 경영대학 학생들의 윤리적 행동········ 422




Chapter 10 두 모집단 간 평균과 비율에 대한 추론


미국 식품의약청-WASHINGTON, D.C.······························· 426


1 두 모집단 평균 차이에 대한 추론: σ1 과 σ2 를 알고 있을 때·· 427

 1. μ1 − μ2 의 구간추정······················································427

 2. 엑셀을 활용한 신뢰구간 추정··········································429

 3. μ1 − μ2 에 대한 가설검정···············································431

 4. 엑셀을 활용한 가설검정················································433

 5. 실질적 적용을 위한 조언···············································435

 연습문제································································· 435


2 두 모집단 평균 차이에 대한 추론: σ1 과 σ2 를 모를 때······· 437

 1. μ1 − μ2 의 구간추정······················································438

 2. 엑셀을 활용한 신뢰구간 추정··········································439

 3. μ1 − μ2 에 대한 가설검정···············································441

 4. 엑셀을 활용한 가설검정················································443

 5. 실질적 적용을 위한 조언···············································445

 연습문제································································· 445


3 두 모집단 평균 차이에 대한 추론: 대응표본····················· 448

 1. 엑셀을 활용한 가설검정················································450

 연습문제································································· 452


4 두 모집단 비율 차이에 대한 추론···································· 455

 1. p1 − p2의 구간추정·······················································455

 2. 엑셀을 활용한 신뢰구간 추정··········································457

 3. p1 − p2에 대한 가설검정················································459

 4. 엑셀을 활용한 가설검정················································460

 연습문제································································· 462

 요점정리································································· 464

 보충문제································································· 464

 사례연구-PAR INC.·················································· 466




Chapter 11 모분산에 대한 추론


미국 정부 회계감사원-WASHINGTON, D.C.······················· 470


1 모분산에 대한 추론························································471

 1. 구간추정···································································472

 2. 엑셀을 활용한 신뢰구간 추정··········································474

 3. 가설검정···································································476

 4. 엑셀을 활용한 가설검정················································479

 연습문제································································· 480


2 두 모분산에 대한 추정··················································· 482

 1. 엑셀을 활용한 가설검정················································487

 연습문제································································· 488

 요점정리································································· 490

 보충문제································································· 490

 사례연구-공군 훈련 프로그램······································· 492




Chapter 12 적합도, 독립성 및 모비율의 동일성 검정


공동모금-ROCHESTER, NEW YORK·································496


1 적합도 검정·································································· 497

 1. 다항확률분포······························································497

 2. 엑셀을 활용한 적합도 검정·············································501

 연습문제································································· 502


2 독립성 검정·································································· 503

 1. 엑셀을 활용한 독립성 검정·············································508

 연습문제································································· 509


3 3개 이상의 모집단에서 비율의 동일성 검정······················512

 1. 다중비교 절차·····························································515

 2. 엑셀을 활용한 모비율의 동일성 검정································517

 연습문제································································· 519

 요점정리································································· 521

 보충문제································································· 521

 사례연구 1. 푸엔티스 솔티 스낵····································· 523

 사례연구 2. 프레즈노 보드게임······································ 525




Chapter 13 실험설계 및 분산분석


버크 사-CINCINNATI, OHIO·············································· 528


1 실험설계의 소개와 분산분석·········································· 530

 1. 자료 수집··································································531

 2. 분산분석을 위한 가정···················································532

 3. 분산분석: 기본 개념·····················································533


2 분산분석과 완전확률화설계··········································· 535

 1. 처리 간 분산 추정치·····················································537

 2. 처리 내 분산 추정치·····················································537

 3. 분산 추정치의 비교: F검정·············································538

 4. 분산분석표································································540

 5. 엑셀을 활용한 분석······················································541

 6. k 개 모집단 평균의 동일성 검정: 관측연구··························543

 연습문제································································· 545


3 다중비교 절차······························································· 547

 1. 피셔의 LSD·······························································548

 2. 제1종 오류율······························································550 

 연습문제································································· 551

 요점정리································································· 553

 보충문제································································· 554

 사례연구-영업 전문가 보상·········································· 556




Chapter 14 단순선형회귀분석


월마트-BENTONVILLE, ARKANSAS································ 560


1 단순선형회귀모형··························································561

 1. 회귀모형과 회귀식·······················································561

 2. 회귀식의 추정·····························································562


2 최소제곱법··································································· 564

 1. 엑셀을 활용한 산점도, 추정회귀선, 추정회귀식 작성·············568

 연습문제································································· 569


3 결정계수······································································ 573

 1. 엑셀을 활용한 결정계수 계산··········································577

 2. 상관계수···································································578

 연습문제································································· 579


4 모형의 가정·································································· 581


5 유의성 검정·································································· 583

 1. σ2 의 추정··································································583

 2. t 검정·······································································584

 3. β1의 신뢰구간····························································586

 4. F 검정······································································586

 5. 유의성 검정 결과 해석에 대한 주의사항·····························588

 연습문제································································· 590


6 추정회귀식을 이용한 추정과 예측··································· 591

 1. 구간추정···································································592

 2. y 평균값의 신뢰구간····················································592

 3. y 개별값의 신뢰구간····················································594

 연습문제································································· 597


7 엑셀의 회귀분석 도구···················································· 598

 1. 아르만즈 피자 팔러 문제에 엑셀 회귀분석 도구 적용············598

 2. 추정회귀식 결과값 해석················································600

 3. 분산분석 결과값 해석···················································601

 4. 회귀분석 통계량 결과값 해석··········································602

 연습문제································································· 602


8 실질적 적용: 단순선형회귀분석에서 빅데이터와 가설검정·603

 요점정리································································· 604

 보충문제································································· 605

 사례연구 1. 주식시장 위험 측정····································· 607

 사례연구 2. 미교통부················································· 608

 사례연구 3. 포인트 앤드 슛 디지털 카메라 고르기··············· 609

 Appendix 14.1 미적분을 이용한 최소제곱 공식의 유도······· 611

 Appendix 14.2 상관관계를 이용한 유의성 검정················ 613




Chapter 15 다중회귀분석


인터내셔널 페이퍼-PURCHASE, NEW YORK······················618


1 다중회귀모형·································································619

 1. 회귀모형과 회귀식·······················································619

 2. 다중회귀식의 추정·······················································620


2 최소제곱법··································································· 621

 1. 예제: 버틀러 화물운송 회사············································621

 2. 엑셀의 회귀분석 도구를 이용하여 다중회귀식 추정하기·········624

 3. 계수 해석에 대한 주의사항·············································626

 연습문제································································· 626


3 다중결정계수································································ 630

 연습문제································································· 631


4 모형의 가정·································································· 633


5 유의성 검정·································································· 634

 1. F 검정·······································································635

 2. t 검정········································································637

 3. 다중공선성································································638

 연습문제································································· 640


6 추정과 예측을 위한 추정회귀방정식 활용························ 642

 연습문제································································· 643


7 범주형 독립변수···························································· 644

 1. 예제: 존슨 정수기회사··················································644

 2. 모수의 해석································································646

 3. 복잡한 범주형 변수······················································648

 연습문제································································· 649

 요점정리································································· 652

 보충문제································································· 652

 사례연구 1. 컨슈머 리서치사········································ 656

 사례연구 2. 최고의 자동차 찾기····································· 657


Appendixes

1 참고 문헌····································································· 660

2 부록 A········································································· 660

3 부록 B-분포표····························································· 662

4 부록 C-합을 표현하는 기호··········································· 673

5 부록 D-통계분석을 위한 엑셀 활용·································676




[역자소개]


대표역자

장영순(명지대학교)


역자

김도현(명지대학교) 

권영훈(경남대학교) 

김옹규(한밭대학교)

박진한(경남대학교) 

서종현(한국산업기술대학교) 

유태종(상명대학교)

이근철(건국대학교) 

허 정(한경대학교) 

황윤민(충북대학교)





답변대기 히딘
답변대기 공부화이팅
상품요약정보 : 서적
상품정보고시
도서명 상세설명페이지 참고
저자 상세설명페이지 참고
출판사 상세설명페이지 참고
크기 상세설명페이지 참고
쪽수 상세설명페이지 참고
제품구성 상세설명페이지 참고
출간일 상세설명페이지 참고
목차 또는 책소개 상세설명페이지 참고
거래조건에 관한 정보
거래조건
재화 등의 배송방법에 관한 정보 상품 상세설명페이지 참고
주문 이후 예상되는 배송기간 상품 상세설명페이지 참고
제품하자가 아닌 소비자의 단순변심, 착오구매에 따른 청약철회 시 소비자가 부담하는 반품비용 등에 관한 정보 배송ㆍ교환ㆍ반품 상세설명페이지 참고
제품하자가 아닌 소비자의 단순변심, 착오구매에 따른 청약철회가 불가능한 경우 그 구체적 사유와 근거 배송ㆍ교환ㆍ반품 상세설명페이지 참고
재화등의 교환ㆍ반품ㆍ보증 조건 및 품질보증 기준 소비자분쟁해결기준(공정거래위원회 고시) 및 관계법령에 따릅니다.
재화등의 A/S 관련 전화번호 상품 상세설명페이지 참고
대금을 환불받기 위한 방법과 환불이 지연될 경우 지연에 따른 배상금을 지급받을 수 있다는 사실 및 배상금 지급의 구체적 조건 및 절차 배송ㆍ교환ㆍ반품 상세설명페이지 참고
소비자피해보상의 처리, 재화등에 대한 불만처리 및 소비자와 사업자 사이의 분쟁처리에 관한 사항 소비자분쟁해결기준(공정거래위원회 고시) 및 관계법령에 따릅니다.
거래에 관한 약관의 내용 또는 확인할 수 있는 방법 상품 상세설명페이지 및 페이지 하단의 이용약관 링크를 통해 확인할 수 있습니다.
01. 반품기한
  • 단순 변심인 경우 : 상품 수령 후 7일 이내 신청
  • 상품 불량/오배송인 경우 : 상품 수령 후 3개월 이내, 혹은 그 사실을 알게 된 이후 30일 이내 반품 신청 가능
02. 반품 배송비
반품 배송비
반품사유 반품 배송비 부담자
단순변심 고객 부담이며, 최초 배송비를 포함해 왕복 배송비가 발생합니다. 또한, 도서/산간지역이거나 설치 상품을 반품하는 경우에는 배송비가 추가될 수 있습니다.
상품의 불량 또는 오배송 고객 부담이 아닙니다.
03. 배송상태에 따른 환불안내
환불안내
진행 상태 결제완료 상품준비중 배송지시/배송중/배송완료
어떤 상태 주문 내역 확인 전 상품 발송 준비 중 상품이 택배사로 이미 발송 됨
환불 즉시환불 구매취소 의사전달 → 발송중지 → 환불 반품회수 → 반품상품 확인 → 환불
04. 취소방법
  • 결제완료 또는 배송상품은 1:1 문의에 취소신청해 주셔야 합니다.
  • 특정 상품의 경우 취소 수수료가 부과될 수 있습니다.
05. 환불시점
환불시점
결제수단 환불시점 환불방법
신용카드 취소완료 후, 3~5일 내 카드사 승인취소(영업일 기준) 신용카드 승인취소
계좌이체 실시간 계좌이체 또는 무통장입금
취소완료 후, 입력하신 환불계좌로 1~2일 내 환불금액 입금(영업일 기준)
계좌입금
휴대폰 결제 당일 구매내역 취소시 취소 완료 후, 6시간 이내 승인취소
전월 구매내역 취소시 취소 완료 후, 1~2일 내 환불계좌로 입금(영업일 기준)
당일취소 : 휴대폰 결제 승인취소
익월취소 : 계좌입금
포인트 취소 완료 후, 당일 포인트 적립 환불 포인트 적립
06. 취소반품 불가 사유
  • 단순변심으로 인한 반품 시, 배송 완료 후 7일이 지나면 취소/반품 신청이 접수되지 않습니다.
  • 주문/제작 상품의 경우, 상품의 제작이 이미 진행된 경우에는 취소가 불가합니다.
  • 구성품을 분실하였거나 취급 부주의로 인한 파손/고장/오염된 경우에는 취소/반품이 제한됩니다.
  • 제조사의 사정 (신모델 출시 등) 및 부품 가격변동 등에 의해 가격이 변동될 수 있으며, 이로 인한 반품 및 가격보상은 불가합니다.
  • 뷰티 상품 이용 시 트러블(알러지, 붉은 반점, 가려움, 따가움)이 발생하는 경우 진료 확인서 및 소견서 등을 증빙하면 환불이 가능하지만 이 경우, 제반 비용은 고객님께서 부담하셔야 합니다.
  • 각 상품별로 아래와 같은 사유로 취소/반품이 제한 될 수 있습니다.

환불불가
상품군 취소/반품 불가사유
의류/잡화/수입명품 상품의 택(TAG) 제거/라벨 및 상품 훼손으로 상품의 가치가 현저히 감소된 경우
계절상품/식품/화장품 고객님의 사용, 시간경과, 일부 소비에 의하여 상품의 가치가 현저히 감소한 경우
가전/설치상품 전자제품 특성 상, 정품 스티커가 제거되었거나 설치 또는 사용 이후에 단순변심인 경우, 액정화면이 부착된 상품의 전원을 켠 경우 (상품불량으로 인한 교환/반품은 AS센터의 불량 판정을 받아야 합니다.)
자동차용품 상품을 개봉하여 장착한 이후 단순변심의 경우
CD/DVD/GAME/BOOK등 복제가 가능한 상품의 포장 등을 훼손한 경우
내비게이션, OS시리얼이 적힌 PMP 상품의 시리얼 넘버 유출로 내장된 소프트웨어의 가치가 감소한 경우
노트북, 테스크탑 PC 등 홀로그램 등을 분리, 분실, 훼손하여 상품의 가치가 현저히 감소하여 재판매가 불가할 경우
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