BUS 283W Lecture Notes - Lecture 6: Central Limit Theorem, John Tukey, Null Hypothesis

• School: University of Waterloo
• Department: Business (Wilfrid Laurier University)
• Course: BUS 283W
• Professor: interview

Document Summary

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. Draw conclusions about your data from histogram, box-whisker, and q-q plots. 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. Identify the kinds of problems may be present in the data: (biased sample, outliers, extreme values) Use the glm procedure to perform anova: class statement, model statement, means statement, output statement.