## 주메뉴

### 생물통계학

• 건국대학교
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자연과학 >생물ㆍ화학ㆍ환경 >생물학
• 강의학기
2017년 2학기
• 조회수
24,472
• 평점
4.3/5.0 (3)
강의계획서
This is an introductory biostatistics course to provide foundation and application of statistics in the field of public health. The course covers both exploratory and numerical methods of describing and performing basic confirmatory analysis of data sets. The topics consist of measurement, types of studies, and concepts of probability and statistical inference (estimation and hypothesis testing). R programming language will be taught.
Course info & 1. Measurement

#### 차시별 강의

 1. Course info & 1. Measurement 1.1 What is Biostatistics? 1.2 Origanization of Data 1.3 Type of Measurements 1.4 Data Quality 2. 1. Measurement 1.1 What is Biostatistics? 1.2 Origanization of Data 1.3 Type of Measurements 1.4 Data Quality 3. 2. Types of Studies Surveys and comparative studies 4. 3. Frequency Distributions Stemplots / distributional shape, location, and spread / frequency tables 5. 3. Frequency Distributions Stemplots / distributional shape, location, and spread / frequency tables 6. 4. Summary Statistics Measures of central tendency and variability 7. 5. Probability Concepts Discrete and continuous random variables / probability mass function (pmfs) / probability density function (pdfs) 8. 5. Probability Concepts Discrete and continuous random variables / probability mass function (pmfs) / probability density function (pdfs) 9. 6. Binomial Distributions Calculate and interpret binomial probabilities 10. 7. Normal Distributions Determine approximate probabilities for Normal random variables 11. 8. Introduction to Statistical Inference Sampling distribution of a sample mean from a Normal population 12. 8. Introduction to Statistical Inference Sampling distribution of a sample mean from a Normal population 13. 2. Data type 11/01 Rstudio, Basic Data Type, Vector Operations, Factor 14. 9. Basics of Hypothesis Testing P-value, Significance Level and Conclusion, One-Sample z-Test 15. 9. Basics of Hypothesis Testing Multi-vector, Subset Data 9. Basics of Hypothesis Testing Type of Decision Errors, Power of z test 10. Basics of Confidence Intervals List, Loops, Function, Package 10. Basics of Confidence Intervals Confidence intervals around means 10. Basics of Confidence Intervals Writing Data, Reading Data, Looping on the Command line, tapply 11. Inference about a Mean One-sample, two-sample, and paired t hypothesis tests on means 11. Inference about a Mean Functions for Probabability Distributions, QQ-plot, Inferential Statistics, Paired sample t-test 12. Comparing Independent Means One-sample, two-sample, and paired t hypothesis tests on means 13. ANOVA6 z-tests and chi square tests of independence and homogeneity

#### 사용자 의견

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운영자2022-07-29 17:40
KOCW입니다. 건국대학교에서는 저작권으로 인해 강의자료/PPT/를 KOCW에 제공하지 않습니다. 양해 부탁드립니다.
ma********* 2022-07-29 16:43
혹시 ppt자료 받아볼수 있을까요?
운영자2021-01-29 09:30
KOCW입니다. 강의오류를 확인하여 수정했습니다.
ks******* 2021-01-28 20:49
며칠전까지 잘보던 강의였는데 갑자기 안나옵니다. 왜 그런건가요?
운영자2019-07-24 09:13
강의계획서에 안내된 주교재 Basic iostatistics / Statistics fPublic Health, B. Burt Gerstman, Jones &Bartlett Learning을 참고하여 주시기 바랍니다.
운영자2019-07-24 09:12
KOCW입니다. 건국대학교에서는 저작권으로 인해 강의자료/PPT/를 KOCW에 제공하지 않습니다. 양해 부탁드립니다.
sj***** 2019-07-23 23:39
PPT교재를 어디에서 구할 수 있을까요?

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