Statistics Part 3 TSYH 2128

Upon successful completion, the student will be able to:

Lessons 31, 32, 33 and 34 - linear regression and correlation

• Perform the required computation for regression and correlation, including:
• Least squares method
• Predicting a particular value of y for a given value of x
• Significance of the correlation coefficient
• Assumptions
• A brief look at polynomial and exponential curve fitting.

Lessons 35, 36, 37, 38 And 39 - Analysis Of Enumerative Data

• Perform the required computation for analysis of enumerative data, including:
• Chi-square test for goodness of fit
• Chi-square test for independence
• Other applications
• Assumptions.

Lessons 40 And 41 - Designing Experiments

• Perform the required computation for designing experiments, including:
• Process of random sampling
• Selection of treatments
• Blocking.

Lessons 42, 43, 44 And 45 - Non-Parametric Statistics

• Perform the required computation for non-parametric statistics, including:
• Reason for using
• Sign test
• Mann-Whitney statistic
• Wilcoxon Signed Rank test
• Rank correlation
• Kolmogorov-Smirnow ... a caution.

Lessons 46 And 47 - Tests Of Significance

• Perform the required computation for tests of significance, including:
• Was the result important?
• Does the difference prove the point?
• Review - pulling it altogether.

Effective as of Fall 2003