2013数学建模必备spss翻译 指导（2013 mathematical modeling necessary SPSS translation guidance）.docVIP

2013数学建模必备spss翻译 指导（2013 mathematical modeling necessary SPSS translation guidance） The first chapter descriptive data analysis Vocabulary: Transform Analyze Graphs graphics conversion analysis Descriptive Statistics descriptive statistics The mean Mean Median median Mode mode Sum Std. and deviation Variance variance standard deviation The Range range S.E.mean standard error of mean Skewness Kurtosis skewness kurtosis Bar Charts Lines Charts bar chart Pie Charts pie Boxplot box chart? Scatter/Dot scatter histogram Histogram P-P plots P-P Q-Q plots map Q-Q map Select the Parametric parameter Options Correlate Bivariate correlation analysis of two variables Example: analysis of some numerical characteristics of a sample of yuan: Click Analyze (analysis) (descriptive statistics) Descriptive Statistics Descriptive (description) - Options (set) (and then choose some characteristic numbers) -- OK ? example: analysis of a sample is from a normal distribution: 1. digital characteristics: Skewness Kurtosis skewness kurtosis (ibid.) 2. click the Graphs graphics (graphics) to select the appropriate graphics for example Histogram P-P plots P-P histogram Q-Q plots Q-Q 3. click AnalyzeNonparametric Tests -- 1 sample K - S One - sample Kolmogorov - then launch Smirnov The Test dialog box (choose the right of inspection) -- OK ? example: analysis of correlation matrix to a group of P samples: Click Analyze (analysis) - Correlate (related) - Bivariate (two variables) select suitable coefficient: for example: Pearson (for normal) or Spearman (for non normal) -- OK The second chapter linear regression analysis vocabulary Regression Liner linear regression Dependent Independent from the dependent variable Stepwise Enter then gradually forced (variable select) Statistics statistics estimated Estimates Confidence intervals confidence interval Covariance matrix covariance matrix The complex correlation coefficient square squared change correction R Plots has the following options: The dep