Every person in today's society needs to have a basic understanding of data analysis and statistical concepts, in order to be able to think critically about the quantitative information we encounter every day, from opinion polls to headline news reports based on scientific studies. We need to be able to understand the information that is being presented and to ask the right questions about any conclusions that are drawn from it.
STAT 220 has no formal mathematics prerequisites, although high school algebra is assumed. Required numeracy skills include: fractions, percentages, square roots, exponents, and equation of a line. Any particular quarter there may be minor deviations from this list of objectives. After completing this course, students should be able to:
• Explain and apply principles of study design and data collection. o Identify the relevant population, sample, study units (subjects), variables, and factors;
o Distinguish between observational studies and controlled experiments; o Describe the impacts of study design on the resulting generality of conclusions that can be draw;
o Recognize study designs that do/not permit conclusions about causation; o Describe how a study could be changed to allow conclusions about causation; o Describe basic sampling schemes (simple random sampling, stratified sampling, census versus sample), their strengths and weaknesses;
o Identify sources of potential bias in study designs and strategies for reducing those biases. Issues include sampling and nonsampling bias, confounding, lurking variables, spuriousness, statistical control;
o Identify issues of ethics in study designs;
o Describe the impact of randomization in study design.
Produce and interpret graphical summaries of data .
o Histograms, stem-and-leaf diagrams, and scatterplots;
o Recognize qualitative versus quantitative data and the relevant data displays for each;
o Based on graphical displays, describe basic...