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
