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


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