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Lecture

# STAT 151 (09/09/13) - Descriptive Stats

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School
University of Alberta
Department
Statistics
Course
STAT151
Professor
Paul Cartledge
Semester
Fall

Description
STAT 151: Lecture Notes (09/09/13) Descriptive Stats Histogram – graph that shows frequency distribution; uses only quantitative data Random Selection and Random Assignment Random Selection? (aka "Random Sampling") Yes No Both Inferences Can Be Causal Random Assignment? Yes Made Inference No Population Inference x  Causal inferences go hand-in-hand with experimentation  Population inferences go hand-in-hand with observation  In the case where both are done, random Selection/sampling is always done before random assignment… never the other way around because it doesn’t make sense (you don’t randomly assign people to a group and them randomly select them, you randomly select them from a population before assigning them to random groups)  There are different types of sampling. Histograms  Look for: o Central or “typical” values and the corresponding spread o Gaps in the data o Symmetry
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