?此課程提供使用MATLAB和Statistics Toolbox?執行統計數據分析的實踐經驗。課程中的示例和練習演示如何在整個分析過程中使用適當的產品功能，從導入和組織數據，到探索性分析，驗證性分析和仿真。內容包括：

• 管理數據
• 計算匯總統計
• 可視化數據
• 擬合分布
• 執行顯著性檢定
• 執行方差分析
• 擬合回歸模型
• 化簡數據集
• 產生隨機數和進行仿真
• 詳細課程大綱：

• Importing and Organizing Data	Objective:?Bring data into MATLAB and organize it for analysis. Perform common tasks, such as merging data and dealing with missing data. ·?Importing data ·?Data types ·?Tables of data ·?Merging data ·?Categorical data ·?Missing data
  Exploring Data	Objective:?Perform basic statistical investigation of a data set, including visualization and calculation of summary statistics. ·?Plotting ·?Central tendency ·?Spread ·?Shape ·?Correlations ·?Grouped data
  Distributions	Objective:?Investigate different probability distributions and fit distributions to a data set. ·?Probability distributions ·?Distribution parameters ·?Comparing and fitting distributions ·?Nonparametric fitting
  Hypothesis Tests	Objective:?Determine how likely an assertion about a data set is. Apply hypothesis tests for common uses, such as comparing two distributions and determining confidence intervals for a sample mean. ·?Hypothesis tests ·?Tests for normal distributions ·?Tests for nonnormal distributions

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  Analysis of Variance	Objective:?Compare the sample means of multiple groups and find statistically significant differences between groups. ·?Multiple comparisons ·?One-way ANOVA ·?N-way ANOVA ·?MANOVA ·?Nonnormal ANOVA ·?Categorical correlations
  Regression	Objective:?Perform predictive modeling by fitting linear and nonlinear models to a data set. Explore techniques for improving model quality. ·?Linear regression models ·?Fitting linear models to data ·?Evaluating the fit ·?Adjusting the model ·?Logistic and generalized linear regression ·?Nonlinear regression
  Working with Multiple Dimensions	Objective:?Simplify high-dimensional data sets by reducing the dimensionality. ·?Feature transformation ·?Feature selection
  Random Numbers and Simulation	Objective:?Use random numbers to evaluate the uncertainty or sensitivity of a model, or perform simulations. Generate random numbers from various distributions, and manage the MATLAB random number generation algorithms. ·?Bootstrapping and simulation ·?Generating numbers from standard distributions ·?Generating numbers from arbitrary distributions ·?Controlling the random number stream

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