Basic Applied Statistics
Lectures

All the lectures feature many Examples, for which Responses to Questions can be filled in during lecture using either of two pdf formats:

  • 4xslides are 4-slides-per-page handouts, intended for printing hard-copy and filling in with pencil. Just print in the usual way; no special instructions are needed.
  • 1xslides are 1-slide-per-page pdfs with text fields that can be filled in with Adobe Reader on your laptop during lecture. The text fields, shown in light blue, appear at the top of each slide for additional notes, as well as in the appropriate spaces for Responses. Note that your notes and responses inside the text fields can be saved for viewing or printing purposes. If you intend to do this, it's better to access this website directly, not via Blackboard. DO NOT print these 1-per-page slides hardcopy as they are, because this would waste too much paper. You can create 4-per-page printouts on a Mac as follows:
    • Save the file from my web page and open it in Adobe Reader.
    • Select View>Rotate View>Clockwise.
    • Select File>Print>Layout>Pages per Sheet:4 and Layout Direction: first option (Z-shaped configuration, with 1 and 2 on top, 3 and 4 on bottom).
    • Select Print.
    On a PC you can
    • Save the file from my web page and open it in Adobe Reader.
    • Select Print
    • Select Page Scaling: Multiple pages per sheet (keep the default 2 by 2)
    • Select OK.

Title To Print To View
Lecture 1 (Wed Jan 4) Introduction, Sampling 4xslides 1xslides
Lecture 2 (Fri Jan 6) Designing Studies
Focus on Sample Surveys
4xslides 1xslides
Lecture 3 (Mon Jan 9) Designing Studies
Focus on Observational Studies
4xslides 1xslides
Lecture 4 (Wed Jan 11) Designing Studies
Focus on Experiments
4xslides 1xslides
Lecture 5 (Fri Jan 13) Single Variables
Focus on Categorical Variables
4xslides 1xslides
Lecture 6 (Wed Jan 18) Quantitative Variables
Displays, Begin Summaries
4xslides 1xslides
Lecture 7 (Fri Jan 20) Quantitative Variables
Summaries, Begin Normal
4xslides 1xslides
Lecture 8 (Mon Jan 23) Quantitative Variables
Normal
4xslides 1xslides
Lecture 9 (Wed Jan 25) Relationships
Categorical and Quantitative Variables
4xslides 1xslides
Lecture 10 (Fri Jan 27) Relationships
Two Categorical Variables
4xslides 1xslides
Lecture 11 (Mon Jan 30) Relationships
Two Quantitative Variables: Correlation
4xslides 1xslides
Lecture 12 (Wed Feb 1) Relationships
Two Quantitative Variables: Regression
4xslides 1xslides
Lecture 13 (Fri Feb 3) Basic Probability Rules 4xslides 1xslides
Lecture 14 (Mon Feb 6) More Advanced Probability Rules 4xslides 1xslides
Lecture 15 (Wed Feb 8) Random Variables 4xslides 1xslides
Lecture 16 (Fri Feb 10) Binomial Random Variables 4xslides 1xslides
Lecture 17 (Fri Feb 17) Normal Random Variables 4xslides 1xslides
Lecture 18 (Mon Feb 20) Tails of the Normal Curve 4xslides 1xslides
Lecture 19 (Wed Feb 22) Distribution of Sample Proportion 4xslides 1xslides
Lecture 20 (Fri Feb 24) Distribution of Sample Mean 4xslides 1xslides
Lecture 21 (Mon Feb 27) Inference for Categorical Variables
Confidence Intervals
4xslides 1xslides
Lecture 22 (Wed Feb 29) Inference for Categorical Variables
Hypothesis Tests
4xslides 1xslides
Lecture 23 (Fri Mar 2) Inference for Categorical Variables
More About Hypothesis Tests
4xslides 1xslides
Lecture 24 (Mon Mar 12) Inference for Quantitative Variables
Confidence Intervals with z
4xslides 1xslides
Lecture 25 (Wed Mar 14) Inference for Quantitative Variables
Hypothesis Tests with z
4xslides 1xslides
Lecture 26 (Fri Mar 16) Inference for Quantitative Variables
Confidence Intervals with t
4xslides 1xslides
Lecture 27 (Mon Mar 19) Inference for Quantitative Variables
Hypothesis Tests with t
4xslides 1xslides
Lecture 28 (Wed Mar 21) Categorical and Quantitative Relationships
Inference for Paired Design
4xslides 1xslides
Lecture 29 (Fri Mar 23) Categorical and Quantitative Relationships
Inference for Two-Sample Design
4xslides 1xslides
Lecture 30 (Mon Mar 26) Categorical and Quantitative Relationships
Inference for Several Samples (ANOVA)
4xslides 1xslides
Lecture 31 (Wed Mar 28) Categorical and Quantitative Relationships
More About ANOVA
4xslides 1xslides
Lecture 32 (Wed Apr 4) Two Categorical Variables
Inference with z or Chi-Square
4xslides 1xslides
Lecture 33 (Fri Apr 6) Two Categorical Variables
More About Chi-Square
4xslides 1xslides
Lecture 34 (Mon Apr 9) Two Quantitative Variables
Inference for Regression
4xslides 1xslides
Lecture 35 (Wed Apr 11) Two Quantitative Variables
Interval Estimates
4xslides 1xslides


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