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生物統計學(英文版普通高等教育研究生教材)

  • 作者:編者:塗宗財//張錦勝|責編:徐暘//趙玉清
  • 出版社:化學工業
  • ISBN:9787122496553
  • 出版日期:2025/12/01
  • 裝幀:平裝
  • 頁數:354
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內容大鋼
    本書從數據分析的基礎概念切入,系統梳理實驗數據統計分析的完整工作流程,講解正態分佈、抽樣誤差、參數估計與假設檢驗等核心統計底層邏輯,同步設置SPSS基礎操作、描述性統計分析模塊,幫助學習者快速掌握統計工具的使用方法。主體內容覆蓋核心統計推斷方法、單因素與多因素方差分析、協方差分析、各類相關分析體系、線性與非線性回歸建模、全套非參數檢驗流程,最後專章介紹各類專業統計圖表的繪製方法,適配生物類研究生科研中從數據整理、差異分析到關聯建模、結果可視化的全流程需求,可作為生物、農林、食品等相關專業研究生的教材,也可供科研工作者參考使用。

作者介紹
編者:塗宗財//張錦勝|責編:徐暘//趙玉清

目錄
Chapter 1  The Basis of Data Analysis
  Section 1  Definition and Content of Data Analysis
  Section 2  Working Procedure of Experimental Data Analysis
  Section 3  The Basic Concepts of Data Statistical Analysis
  Section 4  The Concept and Characteristics of Normal Distribution
  Section 5  Distribution of Statistics
  Section 6  Sampling Research and Sampling Error
  Section 7  Parameter Estimation and Hypothesis Testing
  Summary
Chapter 2  SPSS Base Operation
  Section 1  Launch of SPSS
  Section 2  Main Window of SPSS
  Section 3  Defined Variable
  Section 4  Data Editing and Collation
Chapter 3  Describes the Statistical Analysis
  Section 1  Descriptive Statistics-Frequencies
  Section 2  Exploratory Analysis Process
Chapter 4  Statitics Inference
  Section 1  Hypothesis Testing of a Single Population
  Section 2  Two Populations of Statistical Inferences
  Section 3  Hypothesis Testing of Two Related Populations
  Section 4  SPSS Mean Procedure Introduction
  Summary
Chapter 5  ANOVA
  Section 1  One-Way Analysis of Variance
  Section 2  Two-Factor ANOVA for Random Block Design
  Section 3  Analysis of Variance for Two-Factor Experiments with Equal Replication
  Section 4  Multiple Comparisons Between Multiple Sample Means
  Section 5  Analysis of Variance of General Linear Model
  Summary
Chapter 6  Covariance Analysis
  Section 1  The Significance of Covariance Analysis
  Section 2  Analysis of Covariance for Single-Factor Experimental Data
  Summary
Chapter 7  Correlation Analysis
  Section 1  Linear Correlation Analysis
  Section 2  Level-Related
  Section 3  Partial Correlation Analysis
  Section 4  Distance Analysis Process
  Summary
Chapter 8  Regression Analysis
  Section 1  Principles of Regression Analysis
  Section 2  Multiple Regression Analysis
  Section 3  Nonlinear Models: Mathematical Transformations
  Section 4  Curve Fitting
  Section 5  Nonlinear Regression Analysis
  Summary
Chapter 9  Nonparametric Test
  Section 1  Run Test
  Section 2  Mann-Whitney U Test

  Section 3  Wilcoxon Signed-Rank Test for Paired Samples
  Section 4  Kruskal-Wallis Test
  Section 5  Friedman Tests
  Summary
Chapter 10  Drawing of Graphs
  Section 1  Bar Chart
  Section 2  Line Chart
  Section 3  Area Chart
  Section 4  Pie Chart
  Section 5  High-Low Chart
  Section 6  Control Chart
  Section 7  Boxplot
  Section 8  Error Bar
  Section 9  Scatter Plot
  Section 10  Histogram
  Section 11  Normal P-P
  Section 12  Sequence Diagram
  Section 13  Time Series Plot
  Summary
Main References
Appendix

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