Stat 301 - Lectures Notes

 

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Monday  (38-122)

Tuesday (22-315 or 33-287)

Wednesday (38-122)

Thursday  (22-315 or 33-287)

Day 33: Transformations

 

·       Overview of procedures handout

·       Investigation 4.7 (sols in Canvas)

·       After class

o   Review Exam 2 sols/commentary

o   Submit Lab 7

o   Start HW 8

Day 24: Matched pairs

 

·       Investigation 4.8

 

 

Day 29: Comparing groups on quantitative response (ppt)

 

  • Recap Power
  • Recap Investigation 4.1
  • Investigation 4.2 (a)-(h)
  • Day 29 I wonder
  • After class:
    • Practice technology detours in Inv 4.2
    • Start HW 7
    • Switch Wed final exam time?

 

Day 30: Randomization tests (ppt)

 

  • Investigation 7 jotform (4.4)
    • Join a Inv 7 group and submit in Canvas
  • Day 30 I wonder question
  • After class
    • See Exact p-value discussion p. 270-271.

 

Day 31: Two-sample t-test for random sampling (ppt)

 

  • Inv 4.2 Probability detour (p. 253) 
  • Day 31 I wonder question
  • After class
    • Practice Technology instructions for two-sample t-tests (p. 256-257)
    • Investigation 4.3 (sols in Canvas)
    • Optional Practice quiz in Canvas

Day 32: Two-sample t-test for random assignment (ppt)

  • Investigation 4.6  (Lab 7)
    • Join a Lab 7 group and submit in Canvas
  • Day 32 I wonder question
  • To do after class
    • Optional: Practice problem 4.6 (p. 277)
    • Submit HW 7

 

Day 26: Odds ratios (ppt)

 

·       Investigation 3.9

·       Day 26 IW question

·       After class

o   Submit Lab 6 (in Canvas)

o   Practice question 3.9A? Inv 3.10 (sols in Canvas)

 

 

Final Exam times

Day 27: Review (ppt)

 

After class (due midnight):

  • Submit at least one question on course material
  • Submit at least one "example question"

 

Day 28: Review (ppt)

 

Exam 2 review handout

 

Exam 2

No class meetings

 

·       Watch video

·       Hypergeometric module

·       Start HW 6

Day 23: Fisher’s Exact Test (ppt)

·       Investigation 3.5

·       Day 23 IW question

 

After class

·       PP 3.6 (sols in Canvas)

·       Complete Inv 3.7 (a)-(d)

Day 24: Normal approximation (ppt)

 

  • Investigation 3.7
  • Day 24 IW question

 

After class:

  • PP 3.7 (sols in Canvas)
  • Investigation 3.8 (a), (b), (d)
  • Continue HW 6

Day 25: Relative risk (ppt)

 

After class:

  • See Summary of Inference for “Relative Risk” (p. 222)
    • Technology instructions for CI for relative risk
  • Practice Problem 3.8B (sols in Canvas)
  • Submit HW 6
  • Before Monday's class: Complete Investigation 3.9 (a)-(d)

Day 19: Prediction intervals (ppt)

  • Recap t distribution

o   R demo

o   Simulating confidence intervals applet

·       Investigation 2.6

·       Day 19 IW question

 

After class

·       Read p. 154, 159

·       Ch. 2 summary, examples (videos)

·       Preview Inv 3.1

·       Start HW 5

Day 20: Comparing two proportions (ppt)

 

·       Investigation 3.1 (Inv 6 jotform)

·       Day 20 IW question

 

After class

·       Try R/JMP instructions (p. 186)

·       Review Salmon box on p. 187

·       DO Investigation 3.2 (a)-(c)

·       Finish HW 5

Day 21: Comparing groups – Study design (ppt)

 

·       Investigations 3.2 and 3.3

·       Day 21 IW question

 

After class

·       Finish Inv 3.3

·       Do PP 3.3 and Inv 3.4 (sols in Canvas)

Day 22: Randomization tests (ppt)

 

·       Investigation 3.4 (Lab 5 jotform)

·       Day 22 IW question

 

After class

·       Submit HW 5

·       Watch video (open in new window)

·       Optional: Hypergeometric distribution

 

Day 15: Quantitative data (ppt)

 

  • Investigation 2.1

o  Vital Statistics Online Data Portal

·        I wonder question

 

After class

  • Practice R/JMP commands!
  • Optional: Practice problems 2.1A and 2.1B
  • Start HW 4

 

Day 16: Data vs. Model (ppt)

 

·        Investigation 2.2 jotform (due Thursday 8am)

·        I wonder question

 

After class:

·        Optional: Practice problems 2.1, 2.2

·        Recommended: Inv 2.3

·        Continue HW 4

Day 17: Sampling distribution of the sample mean (ppt)

 

·        Data collection

·        Investigation 2.4

·        I wonder question

 

After class:

·        Continue HW 4

Day 18: one-sample t-procedures (ppt)

 

·       Inv 2.5 jotform (due Tuesday 8am)

·       I wonder question

 

After class:

  • Submit HW 4
  • Try "One sample t-procedures" Tech Detour at end of Inv 2.5

Day 12: Sampling from a population (ppt)

 

·       Data collection page

·       Inv 1.12 and 1.13

·       Sampling frame

·       Sampling Words applet

·       Day 12 IW question

 

After class:

·       Submit Lab 3

·       Review Investigation 1.14

·       Review p. 96

·       Review “non-sampling errors” (p. 87)

Day 13:  Cautions (ppt)

 

·       Inv 1.14, 1.17, 1.18 jotform  (due Thursday 8am)

·       Day 13 IW question

 

After class (due midnight):

  • Submit at least one question on course material
  • Submit at least one "example question"

 

Day 14: Review (ppt)

 

·       Inv 1.14, 1.16(a)-(c)

·       Day 14 IW question

 

Exam 1

(Bring pencil, eraser, calculator that can do square root, one notes page with name on it)

 

Due: Fill in Water survey and submit results in Canvas (Feb. 3)
 
Fun facts about Black History Month

 

HW 4

No class meeting

Day 9: One sample z-procedures (ppt)

·       Inv 1.8 jotform

·       Day 9 IW question

 

After class:

·       Tech detours (p. 59, 60)

·       Read discussion p. 62

·       Start HW 3

Day 10: One sample z-intervals (ppt)

·       Inv 1.9

·       Day 10 IW question

 

After class:

·       Finish 1.9 (n)-(o)

·       Optional: Ch. 1 examples

Day 11: Alternative interval procedure (ppt)

·       Inv 1.10 jotform

After class

·       See discussion p. 73-74

·       Submit jotform by Tuesday

·       Finish HW 3

·       Bring computer/device Monday

 

Day 5: Binomial tests/Standardizing (ppt)

Before class:

  • Investigation 1.3 part (a)

 

In class:

·       ppt

·       Investigation 1.3

·       Submit Day 5 I wonder question

 

After class:

·       Finish Investigation 1.3 and read discussion on p. 58

·       Optional: PP 1.3B

·       Submit Lab 1 jotform

·       Start HW 2 (and see participation activities)

 

Day 6: Binomial tests/Factors that impact p-value (ppt)

 

In class:

·       Recap Inv 1.3 (ppt)

·       Inv 2 jotform (Inv 1.4)

·       Day 6 IW question

 

After class:

·       P. 36 Tech Detour

 

Day 7: Two-sided p-values (ppt)

 

In class:

·       Recap Inv 1.4 (ppt)

·       Investigation 1.5

·       Day 7 IW question

 

After class:

·       Submit Inv 2 jotform

·       Continue HW 2

Day 8: Interval of plausible values (ppt)

In class:

·       Inv 1.6 jotform

·       Day 8 IW question

After class:

·       Submit HW 2

·       Optional: PP 1.6

·       Optional: Canvas module on normal distribution

Day 1: Distribution

 

Before class:

  • Initial course survey
  • Syllabus (pdf)

 

In class:

  • ppt
  • Investigation A
    • Typo: 6 in 2019

 

After class:

  • Read p. 8
  • Optional: PP A.A
  • Install software (R or JMP)
  • Begin HW 1

Day 2: Probability

 

In class:

  • ppt
  • Investigation B
  • Submit Day 2 I wonder question

 

After class:

  • Answer questions (n)-(u) in Inv B on own
  • Read introductory paragraph of Inv 1.1 and watch 3 videos:
  • Optional: preview technology instructions on p. 19-20
  • Finish initial course surveys/forms (including PingPong)

Day 3: Statistical Significance

 

In class:

  • ppt
  • Investigation 1.1
  • Submit Day 3 I wonder question

 

After class:

  • Finish Investigation 1.1 on own
  • Submit Inv B jotform
  • Continue HW 1
  • Optional: graphs in 1.1, PP 1.1A (sols in Canvas)

Day 4: Test of significance

 

In class:

  • ppt
  • Investigation 1.2
  • Submit Day 4 I wonder question

 

After class:

  • Review p-value defintion/discussion
  • Review binomial probability
  • Optional module in Canvas
  • Optional: 1.2A (sols in Canvas)
  • Also see technology instructions
  • Question (a) of Inv 1.3

 

To Do:

  • Finish HW 1 and submit in Canvas