Examine the distribution of continuous variables (histogram, box -whisker, Q-Q plots)

computer science

Description

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 

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