Links: Stat 202 Summer 2016

Links

• Online textbook: http://www.macmillanhighered.com/Catalog/Product.aspx?isbn=1464133409
• Kahn Academy videos on why you divide by (n-1) instead of (n) when you compute the sample standard deviation or sample variance. Video 1: https://www.khanacademy.org/math/probability/descriptive-statistics/variance_std_deviation/v/review-and-intuition-why-we-divide-by-n-1-for-the-unbiased-sample-variance Video 2: https://www.khanacademy.org/math/probability/descriptive-statistics/variance_std_deviation/v/simulation-showing-bias-in-sample-variance
• How to interpret a Normal Quantile Plot (QQ-Plot): http://stats.stackexchange.com/questions/101274/how-to-interpret-a-qq-plot
• Comparison of Normal and T Distributions

Practice Exams And Exams

• Exam 1 Practice 1 (solutions).

• Exam 1 Practice 2 (solutions).

• Exam 1 Practice 3 (solutions).

• Exam 2 Practice 1 (solutions).

• Exam 2 Practice 2 (solutions).

• Exam 2 Practice 3 (solutions).

• Midterm Exam (solutions)

• Exam 3 Practice 1 (solutions)

• Exam 3 Practice 2 (solutions)

StatCrunch Skills We Covered (copied from Summer 2015, but still relevant)

StatCrunch Plots

• Bar Graph
• Pie Chart
• Stemplot
• Histogram
• QQ-Plot (Normal Quantile Plot)
• Scatter Plot
• Scatter Plot with Regression Line overlaid
• Residual Plot
• Boxplot

StatCrunch Calculators

• Normal Calculator
• Binomial Calculator

StatCrunch Statistics

• Summary Stats (Columns)
• Summary Stats (Correlation)
• Regression (Simple Linear)

Other StatCrunch Skills

• Load Data
• Delete and Insert Rows And Columns
• Rename Columns
• Simulate Data From A Specified Distribution
• Use Fixed and Dynamic Seeds
• Apply Transformations to Data

Sampling

• Conduct a random sample of data
• Sample if there is more than one column and you want sampled columns to correspond.
• Use fixed seeds for sampling
• Generate a sequence of numbers to use for sampling.

Hypothesis Testing

• Z-Test
• T-Test
• Proportion Test
• One Sample
• Two Sample
• Paired
• With Data
• With Summary

Confidence Intervals

• Z-Stats
• T-Stats
• Proportion Stats
• One Sample
• Two Sample
• Paired
• With Data
• With Summary

Power/Sample Size

• Z-Stats
• T-Stats
• Proportion Stats
• One Sample
• Two Sample

Confidence Interval Width/Sample Size

• Z-Stats
• T-Stats
• Proportion Stats
• One Sample
• Two Sample

Some Other Things to Review for Final

• 68-95-99.7 Rule