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課程資訊 |
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課程名稱 |
獸醫統計推論及實習 Veterinary Statistical Inference and Practice | ||||||||||||||||
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開課學期 |
102-2 | ||||||||||||||||
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授課對象 |
生物資源暨農學院 獸醫學研究所 | ||||||||||||||||
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授課教師 |
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課號 |
VM5020 | ||||||||||||||||
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課程識別碼 |
629 U1320 | ||||||||||||||||
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班次 |
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學分 |
3 | ||||||||||||||||
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全/半年 |
半年 | ||||||||||||||||
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必/選修 |
選修 | ||||||||||||||||
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上課時間 |
星期四7,8,9,A(14:20~19:15) | ||||||||||||||||
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上課地點 |
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備註 |
限學士班三年級以上 且 限本系所學生(含輔系、雙修生) 總人數上限：20人 | ||||||||||||||||
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Ceiba 課程網頁 |
http://ceiba.ntu.edu.tw/1022VM5020_ | ||||||||||||||||
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課程簡介影片 |
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核心能力關聯 |
核心能力與課程規劃關聯圖 | ||||||||||||||||
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課程大綱
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為確保您我的權利,請尊重智慧財產權及不得非法影印
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課程概述 |
Using formulae to solve experimental data but not formulae deducing is given in this course. | ||||||||||||||||
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課程目標 |
Students are expected to master in
1. the basic concepts of biostatistics 2. experimental design for future work 3. put the statistical methods into practical work. | ||||||||||||||||
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課程要求 |
Practical excise every chapter is very important for students to understand this course.
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預期每週課後學習時數 |
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Office Hours |
另約時間 備註： e-mail 問老師問題，並約時間。 | ||||||||||||||||
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指定閱讀 |
Textbook:
1. Glover T, Mitchel K. An introduction to biostatistics. 2nd ed, Ting Lung Book Co, Taiwan ed, 2008 |
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參考書目 |
2. Excel practice and the methods on the net.
3. Teacher’s notes 4. NTU Statistical Teaching Center notes 5. personal experimental design and data analysis | ||||||||||||||||
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評量方式 (僅供參考) |
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課程進度 |
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週次 |
日期 |
單元主題 |
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第1週 |
2/20 | 老師出國開會，回來再補課 |
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第2週 |
2/27 | 1. Introduction to data analysis: Introduction, populations and samples, variables or data types, measures of central tendency: mean median, and mode, measures of dispersion and variability, descriptive statistics for frequency tables or grouped data, the effect of coding data, tables and graphs, quartiles and box plots, accuracy, precision, and the 30-300 rule.
Practice: box plots, descriptive statistics in Excell and questions in the textbooks. |
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第3週 |
3/06 | 每週二 18:00以前交上一週的回家作業到獸醫3館309給老師，也可以用e-mail: chingho@ntu.edu.tw。
2. Introduction of probability: definitions, use of permutations and combinations, introduction to set theory and Venn diagrams, axioms and rules of probability, probability rules and Mendelian genetics Practice: questions in the textbooks |
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第4週 |
3/13 | 3. Probability distributions: discrete random variables, the binomial distribution, the Poisson distribution, continuous random variables, the normal distribution, the standard normal distribution
Practice: discrete distributions and normal distribution in excel |
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第5週 |
3/20 | 4. Sampling distributions: definitions, distribution of the sample mean, confidence intervals of the population mean, confidence intervals for a population proportion
Practice: sampling distributions in excel |
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第6週 |
3/27 | 5. Introduction to hypothesis testing: the famous cornflakes example, typical steps in a statistical test of hypothesis, type I versus type II errors in hypothesis testing, binomial example of hypothesis testing
Practice: questions in textbook |
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第7週 |
4/03 | 放假 |
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第8週 |
4/10 | 6. One-sample tests of hypothesis: hypotheses involving the mean, hypotheses involving the variance, nonparametric statistics and hypothesis testing, the one-sample sign test, confidence intervals based on the sign test, the one-sample Wilcoxon signed-rank test
Practice: hypothesis tests in excel |
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第9週 |
4/17 | Midterm. Open book with calculator and laptop |
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第10週 |
4/24 | 7. Tests of hypothesis involving two samples: comparing two variations, testing the difference between two means of independent samples, confidence intervals for u1-u2, the difference between two means with paired data, The Wilcoxon rank-sum test, the sign test and paired data, the Wilcoxon signed-rank test for paired data
Practice: hypothesis tests in excel |
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第11週 |
5/01 | 8. K-sample tests of hypothesis: the analysis of variance: Model I ANOVA, mean separation techniques for model I ANOVA, model II ANOVA, the Kruskal-Wallis test
Practice: build an anova table by calculator, anova in excel |
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第12週 |
5/08 | 9. Two-factor analysis: randomized complete block design ANOVA, factorial design two-way ANOVA, the Friedman k-sample test: matched data
Practice: two-way-anova in excel |
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第13週 |
5/15 | 10. Linear regression and correlation: simple linear regression, simple linear correlation analysis, correlation analysis based on ranks
Practice: linear regression in excel |
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第14週 |
5/22 | 11. Goodness of fit tests for categorical data: the binomial test, comparison of two population proportions, The Chi-square test for goodness of fit, the Chi-square test for r x k contingency tables, the Kolmorov-Smirnov test, the Lilliefors test
Practice: category data tests, goodness-of-fit test, pivot analysis |
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第15週 |
5/29 | Misuse of statistics in the journals |
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第16週 |
6/05 | Misuse of statistics in the journals |
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第17週 |
6/12 | Present your experimental data or statistics from the journals |