Topic 01 - 1 Topic 1 – Basic Statistics KKMN Chapters 1-3...

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Unformatted text preview: 1 Topic 1 – Basic Statistics KKMN Chapters 1-3 2 Topic Overview Course Syllabus & Schedule Review: Basic Statistics Terminology: Being able to Communicate Distributions: Normal, T, F Hypothesis Testing & Confidence Intervals Significance Level & Power 3 Textbook Applied Regression Analysis and Other Multivariate Methods, 3 rd Edition Please try to spend at least some time in the assigned readings before coming to class. 4 Time Requirements Often the biggest complaint in this class is that the coursework takes too much time. As a general rule, if you are staring at a problem for 10 minutes and not getting very far, you should seek help. EMAIL / Office Hours / Appointment Ask your group-mates how to get started (remember, please don’t share homework solutions) 5 Collaborative Learning Key Premise: If you help each other and work together, you will learn more. Requires: Cooperation and some coordinating on your part. Note: If something isn’t working, or if you have suggestions for how this aspect of the course can improve, please tell me! 6 SAS Software We’ll use SAS software for the course. I’ll generally provide template files with each lecture for the purpose of helping you learn the appropriate code. Hopefully working in groups will reduce the strain/stress people often feel working in SAS. Can email me questions about SAS – please send CODE (*.SAS file) and LOG (*.LOG). 7 Questions? 8 Terminology of Statistics & Experimental Design One of the most important components of a good statistical analysis is the ability to communicate your results to others. 9 What is Statistics? “Scientific process of learning from available data and making decisions in the face of variability ” Good statistics involves… Unbiased collection of information. Using appropriate statistics to describe the information. Using models to help us interpret the data, make generalizations, and draw conclusions. 10 Key Concept What is variability? Why is it useful to us? How do we use it to our advantage in trying to assess relationships among variables? 11 Data Collection Several questions should be answered before data collection whenever possible… What is the response variable (the variable of interest)? What magnitude of change in response is important? ( Statistical vs. Practical Significance ) What are potential predictor variables ? 12 Data Collection (2) How do we measure each variable? Are the variables continuous ? Categorical ? Are the variables experimental ? Observational ? Mixed? Are there any sources of BIAS ? How many observations / replicates do we take? And what are the resources / costs involved? 13 Data Collection (3) Unfortunately, I can’t count how many times students have come to me AFTER data collection and tried to resolve the same questions above You can see how a little groundwork goes along way in real practical experience 14...
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Topic 01 - 1 Topic 1 – Basic Statistics KKMN Chapters 1-3...

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