臺大課程網

生物統計學

114-1 開課
  • 流水號

    45961

  • 課號

    MPB5010

  • 課程識別碼

    H44 U5010

  • 無分班

  • 3 學分
  • 選修

    生物多樣性國際碩士學位學程

      選修
    • 生物多樣性國際碩士學位學程

  • 洪詩涵
  • 三 7, 8, 9
  • 綜202

  • 2 類

  • 修課總人數 20 人

    本校 20 人

  • 無領域專長

  • 英文授課
  • NTU COOL
  • 核心能力與課程規劃關聯圖
  • 備註

    本課程以英語授課。

  • 本校選課狀況

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  • 課程概述
    統計是生物研究的重要工具,從試驗設計、資料收集、資料分析與分析結果判讀,都需要有良好的統計知識做為基礎。本課程除上課講演之外,亦將應用適當的統計分析工具,讓學生能夠進行實際的資料分析,增進學生實作能力。 Statistics is an important tool of biological research, from the experimental design, data collection, data analysis, and results interpretation, all of which require good statistical knowledge as a basis. In addition to lectures, the course will also apply appropriate statistical analysis tools to enable students to conduct practical data analysis and enhance their practical skills. *Make modifications weekly depending on progress.
  • 課程目標
    1.理解基本統計概念 2.能夠進行試驗設計 3.正確進行資料收集 4.具備資料分析能力 5.正確解讀分析結果 1.Understand basic statistical concepts 2.Ability to design the experiment 3.Proper data collection 4.Data analysis capabilities 5.Interpret the results of the analysis correctly
  • 課程要求
    Flipping the class Read the materials before attending the class
  • 預期每週課前或/與課後學習時數
    1-3 hours
  • Office Hour
    *此 Office Hour 需要提前預約
  • 指定閱讀
  • 參考書目
    1. Adams, K. A., & McGuire, E. K. (2019). Research methods, statistics, and applications. Sage Publications. 2. Agresti, A. (2018). Statistical methods for the social sciences. Fifth Editions. Pearson. 3. Creswell, J. W., & Creswell, J. D. (2023). Research design: Qualitative, quantitative, and mixed methods approaches. Sage Publications. 4. Tabachnick, B. G., & Fidell, L. S. (2013). Using multivariate statistics (6th ed.). Pearson Education, MA. 5. Tokunaga, H. T. (2018). Fundamental statistics for the social and behavioral sciences. Sage Publications. 6. Rosner, B. A. (2016). Fundamentals of biostatistics (Vol. 8). CENGAGE, USA. 7. Utts, J. M., & Utts, J. M. (1996). Seeing through statistics (Vol. 3). Belmont, CA: Duxbury Press.
  • 評量方式
    20%

    Participation

    30%

    Exercises

    50%

    Final Exam


    1. 本校尚無訂定 A+ 比例上限。
    2. 本校採用等第制評定成績,學生成績評量辦法中的百分制分數區間與單科成績對照表僅供參考,授課教師可依等第定義調整分數區間。詳見 學習評量專區
  • 針對學生困難提供學生調整方式
    調整方式說明
    B1

    延長作業繳交期限

    Extension of the deadline for submitting assignments

  • 補課資訊
  • 課程進度
    9/3第 1 週Introduction of Statistics
    9/10第 2 週Descriptive Statistics: Sampling, Measurement, Variables, Tables, and Figures
    9/17第 3 週Probability Distributions and Hypothesis Testing, Sample size, Errors in Hypothesis Testing, statistical power, effect size
    9/24第 4 週Statistics in Scientific Studies: Quantitative Methods and Analysis
    10/1第 5 週Statistics in Scientific Studies: Qualitative Methods and Analysis
    10/8第 6 週Nonparametric Methods
    10/15第 7 週Design Research: Exercise I
    10/22第 8 週Statistics in Scientific Studies: Mixed Methods Procedures and Analysis
    10/29第 9 週Testing Differences between Two Groups: T-Test
    11/05第 10 週ANOVA I: One-Way ANOVA
    11/12第 11 週ANOVA II: Two-Way ANOVA
    11/19第 12 週Correlation
    11/26第 13 週Design Research: Exercise II
    12/03第 14 週Regression: Multivariate analysis
    12/10第 15 週Factor analysis
    12/17第 16 週Final Exam