바로가기

강의상세

통합검색
상세검색
상세검색
언어유형
강의연도

사회통계

강의사진
  • 주제분류
    사회과학 >경영ㆍ경제 >경제학
  • 강의학기
    2012년 1학기
  • 조회수
    9,654
  • 평점
    5/5.0 (2)
The main purpose of this course is to explain basic level of probability and statistics so that students of social sciences can undertand why statistics is important to study social sciences and how to use statistics to analyze the data related to social sciences.

차시별 강의

PDF VIDEO SWF AUDIO DOC AX
1. 플래쉬 Statistics for Social Sciences 1. What is Statistics? 2. Statistics in Social Sciences 3. Relationship between Probability & Statistics 4. Population vs. Samples 5. The Descriptive Statistics: Graphical Method URL
플래쉬 What is Probability? 1. What is Probability? 2. The four fundamental concepts to understand probability Experiment, Sample Space, Outcomes, and Event. 3. The basic Set Theory and Calculus of Probability 4. Probability Function and Properties URL
2. 플래쉬 Conditional Probability and Independence 1. What is Conditional Probability? 2. Relationship between Conditional Probability and Intersection Probability 3. Bayes' Rule: Concept and General Form 4. Concept of Independence in probability theory URL
플래쉬 Random Variables 1. Definition of Random Variable 2. Probability Function of Random Variable 3. Cumulative Distribution Function 4. Expectation and Variance of a Random Variable and their Properties 5. Random Sampling with Random Variable URL
3. 플래쉬 Discrete Random Variables 1. Concept of Discrete Random Variables 2. Bernoulli Random Variable 3. Binomial Random Variable 4. Poisson Random Variable 5. Hypergeometric Random Variable URL
플래쉬 Continuous Random Variables 1. Concept of Continuous Random Variables 2. Relationship between c.d.f and p.d.f 3. Expected Value for Continuous R.Vs 4. Uniform Distribution 5. Normal Distribution URL
4. 플래쉬 Chebyshev's Theorem and Central Limit Theorem 1. Chebyshev's Theorem 2. Sampling Distribution 3. Central Limit Theorem URL
플래쉬 Other Distributions related to the Normal Distribution 1. Standard Normal Distribution 2. Distributions related to the Normal Dist. -Chi-Square Distribution -t distribution -F distribution URL
5. 플래쉬 Distributions with Two Random Variables 1. Joint Probability Distribution 2. Marginal Probability Distribution URL
플래쉬 Conditional Probability Functions and Independent Random Variables 1. Conditional Probability Function 2. Independent Random Variables URL
6. 플래쉬 The Relations of Two Random Variables 1. The Covariance and Correlation of Two Random Variables 2. The Expected Value and Variance of Linear Functions of Random Variables URL
플래쉬 Estimation(Point Estimation) 1. Statistical Inference: Estimation & Hypothesis Testing 2. Concept of Estimator 3. Unbiased Estimator & Mean Squared Error URL
7. 플래쉬 Properties of a Point Estimator 1. The Error of Estimation 2. Concept of Efficiency 3. Concept of Consistency URL
플래쉬 Diagnosis Test for Midterm 1. 중간고사 준비가 잘 되었는지 측정하기 위한 진단강의 2. 문제 유형 파악 3. 부족한 영역 보완 URL
8. 플래쉬 Confidence Intervals(Interval Estimation) 1. Interval Estimator: Confidence Intervals 2. Large Sample Confidence Intervals for µ, µ₁ - µ₂ 3. The Upper & Lower Confidence limits URL
플래쉬 Small Sample Confidence Intervals for µ, µ₁ - µ₂ and σ² 1. Small Sample Confidence Intervals for µ, µ₁ - µ₂ 2. Confidence Intervals for σ² URL
9. 플래쉬 Hypothesis Testing 1. Hypothesis Testing: Purpose & Elements - Null Hypothesis vs. Althernative Hypothesis - Test Statistics - Rejection Region 2. Type Ⅰ error & Type Ⅱ error URL
플래쉬 Large Sample Tests, Testing Procedures and Confidence Intervals 1. Large Sample Tests:
One-tailed Tests vs.
Two-tailed Tests
2. The Relationships between Hypothesis Testing Procedures and Confidence Intervals		 URL
10. 플래쉬 Small Sample Testing and Testing Concerning Variances 1. A Small-Sample Test for µ. (t-test)
2. Small Sample Tests for Comparing Two Population Means
3. Test of Hypotheses Concerning a Population Variance		 URL
플래쉬 The Chi-Square Test 1. Multinomial Distribution 2. Contingency Tables 3. Chi-square Test Statistics URL
11. 플래쉬 Analysis of Variance(ANOVA) 1. Purpose of Analysis of Variance 2. Terminology of ANOVA 3. The ANOVA Procedure URL
플래쉬 Analysis of Variance for a One-Way Layout 1. Analysis of Variance for a One-Way Layout 2. ANOVA Table URL
12. 플래쉬 A Statistical Model for the Randomized Block Design and the ANOVA for a Randomized Block Design 1. Randomized block design 2. Selecting the sample size for the one-way layout or the randomized block design URL
플래쉬 simple Linear Regression 1. Linear Statistical Model: Simple Linear Regression 2. Least Square Method 3. The Properties of Least Square Estimators URL
13. 플래쉬 Inferences Concerning the Parameters 1. Simple Linear Regression: - Hypothesis Testing - Predicting a Particular Value of Y URL
플래쉬 Nonparametric Statistics1 1. Parametric vs. Nonparametric 2. The Sign Test for a Matched Pairs Experiment 3. The Wilcoxon Signed-Rank Test for a Matched Pairs URL
14. 플래쉬 Nonparametric Statistics2 1. The Mann-Whitney U Test 2. The Kruskal-Wallis Test for the One-Way Layout URL
플래쉬 Diagnosis Test for Final 1. 기말고사 준비가 잘 되었는지 측정하기 위한 진단강의 2. 문제 유형 파악 3. 부족한 영역 보완 URL

연관 자료

loading..

사용자 의견

강의 평가를 위해서는 로그인 해주세요. 로그인팝업
0/200
등록
운영자2012-10-23 15:11
9차시 두번째 자료 정상적으로 수정하였습니다.
aa** 2012-09-23 09:37
http://www.kocw.net/home/search/kemView.do?kemId=420348 좋은 강의입니다만...애석하게도 9차시 두번째인 [Large Sample Tests, Testing Procedures and Confidence Intervals]가 누락되어 있습니다. 엉뚱한 놈이 들어가 있네요 ㅎㅎ
더보기

이용조건