Stats+Outline

<< Back to Statistics

Week 1:
 * 1) Syllabus, Materials form, XLStatistics, GeoGebra, Khan Academy, Moodle.
 * 2) Data --> Exploring how to draw meaning from large amounts of numbers.
 * 3) Give them data sets and ask them to tell me what it means.
 * 4) Ask them to show me something I don't know from looking at the numbers.
 * 5) What numbers are good at summarizing the data?
 * 6) What pictures?
 * 7) Graphs --> Double edged sword.
 * 8) Give a good summary but lose information.
 * 9) Can be very revealing but can be very deceptive.
 * 10) Activity --> Are the Dice Fair?

Week 2:
 * 1) Gathering Data.
 * 2) Google Forms, Survey Monkey.
 * 3) Who is your sample?
 * 4) randomizing
 * 5) response bias
 * 6) Measuring and recording.
 * 7) Clear definitions
 * 8) Uncertainty.
 * 9) Simulations
 * 10) Research methods.
 * 11) Surveys, Observational Study, Experiments.
 * 12) Examples of poor research methods.
 * 13) Design an experiment.
 * 14) Probability --> the math of uncertainty
 * 15) Gambling
 * 16) Insurance
 * 17) Medical studies.
 * 18) Making educated guesses.
 * 19) Mathematical models
 * 20) Correlation is not causation
 * 21) Inference from Samples to Populations.
 * 22) No Class

Week 3:
 * 1) Introduction to one-variable data.
 * 2) Categorical vs. Quantitative
 * 3) Numerical Summaries
 * 4) Graphs for Categorical Data
 * 5) Pie Charts, Bar Charts.
 * 6) Examples of Poor or misleading graphs.
 * 7) XL Stats, Google Forms, Google Spreadsheets.
 * 8) Graphs for Quantitative One-Variable Data
 * 9) Histograms, Dot Plots, Box-Plot(Stem-and-Leaf), Stem Plots, Cumulative Frequency Charts, Time Plots.
 * 10) XL Stats, Google Forms, Google Spreadsheets, GeoGebra?
 * 11) Measuring Center and Spread
 * 12) mean, median, mode
 * 13) Which to use to accurately show information.
 * 14) Variance, Standard Deviation, Range, IQR.
 * 15) Important Features - describing with pictures and with words.
 * 16) Shape
 * 17) Outliers
 * 18) Center
 * 19) Spread