# 考试大纲.pdf - Exam topics include ANOVA 10 Verify the...

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Exam topics include: ANOVA - 10% Verify the assumptions of ANOVA Explain the central limit theorem and when it must be applied Examine the distribution of continuous variables (histogram, box-whisker, Q-Q plots) Describe the effect of skewness on the normal distribution Define H0, H1, Type I/II error, statistical power, p-value Describe the effect of sample size on p-value and power Interpret the results of hypothesis testing Interpret histograms and normal probability charts Draw conclusions about your data from histogram, box-whisker, and Q-Q plots Identify the kinds of problems may be present in the data: (biased sample, outliers, extreme values) For a given experiment, verify that the observations are independent For a given experiment, verify the errors are normally distributed Use the UNIVARIATE procedure to examine residuals For a given experiment, verify all groups have equal response variance Use the HOVTEST option of MEANS statement in PROC GLM to asses response variance Analyze differences between population means using the GLM and TTEST procedures Use the GLM Procedure to perform ANOVA o CLASS statement o MODEL statement o MEANS statement o OUTPUT statement Evaluate the null hypothesis using the output of the GLM procedure Interpret the statistical output of the GLM procedure (variance derived from MSE, F value, p-value R**2, Levene's test) Interpret the graphical output of the GLM procedure Use the TTEST Procedure to compare means Perform ANOVA post hoc test to evaluate treatment effect Use the LSMEANS statement in the GLM or PLM procedure to perform pairwise comparisons Use PDIFF option of LSMEANS statement Use ADJUST option of the LSMEANS statement (TUKEY and DUNNETT) Interpret diffograms to evaluate pairwise comparisons Interpret control plots to evaluate pairwise comparisons Compare/Contrast use of pairwise T-Tests, Tukey and Dunnett comparison methods Detect and analyze interactions between factors Use the GLM procedure to produce reports that will help determine the significance of the interaction between factors. MODEL statement LSMEANS with SLICE=option (Also using PROC PLM) ODS SELECT Interpret the output of the GLM procedure to identify interaction between factors: p-value F Value R Squared TYPE I SS TYPE III SS Linear Regression - 20%

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Fit a multiple linear regression model using the REG and GLM procedures

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