Stat 313 - Lectures Notes

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 Monday Tuesday Wednesday Thursday Day 1: Variability (P.A)  Syllabus (pdf)  Handout (pdf) (ppt) (anno) avocados.txt Descriptive Statistics applet Berkeley.txt To Do: Initial Course survey in Canvas Introduction video in Canvas Read Preliminaries Install software Day 2:  Statistical models (P.B) (ppt) Exploration P.B: Lab 1 (Word doc or Google doc - make a copy)  Multiple Variables applet To Do: Finish reading Preliminaries See also "practice questions for preliminaries" (Quizzes) Read Section 1.1 ("Quiz" at start of class) Start HW 1 Day 3: Sources of Variation (1.1) Section 1.1 Quiz in Canvas Handout (pdf) (ppt) Multiple Variables applet To Do: Read Section 1.2 Continue HW 1 Day 4: Quantifying sources of variation (1.2) ppt background Exploration 1.1: Lab 2 (Word doc or Google doc) DungBeetles.txt Multiple Variables applet To Do: Finish HW 1 and submit in Canvas Review: Interpreting the equation for a line Read Section 1.3 for Quiz Day 5: Statistical significance (1.3) Section 1.3 Quiz in Canvas Handout (pdf) (ppt) (anno) Comparing Groups applet To Do: Continue Section 1.3 Review HW 1 sols Start HW 2 Day 6: Other statistics (1.3 cont.) ppt Lab 3 (Word or Google) To Do: Read/Video Section 1.4 Section 1.4 Quiz  TBD Cont. HW 2 Heads up: R/JMP/Rguroo on Thursday Day 7: More than 2 means (1.4) Section 1.4 Quiz in Canvas Handout (pdf) (ppt) (anno) Comparing Groups applet Squirrels.txt To Do: Read/Video Section 1.5 Cont. HW 2 Optional: Simulating ANOVA tables applet Heads up: R/JMP/Rguroo on Thursday Day 8: Confidence intervals (1.5) ppt Lab 4 (Word or Google) Comparing Groups To Do: HW 2 (see "fix" in b) Read/Video Section 1.6  for quiz Day 9: Types of Errors/Ch. 1 Recap Section 1.6 Quiz in Canvas Handout (pdf) (ppt) (anno) Ch. 1 Inv: FunctionalReach Comparing groups applet Not yet: Demo (Exp 1.6) Comparing Two Populations applet To Do: Read/video Section 2.1 Review HW 2 sols Share feedback files with partner Start HW 3 Day 10: Paired designs (2.1) (ppt) Stopwatch Lab 5 (a-f together) Section 1 (Word or Google) Section 2 (Word or Google) To Do: Read/Video Section 2.2 Review Day 9 annotated handout Day 11: Block designs (2.2) Section 2.2 Quiz in Canvas Handout (pdf) (ppt) (anno) RCBD applet To Do: Read/Video Section 2.3 Day 12: Observational data (2.3) (ppt) Lab 6 (Word or Google) To Do: Review Ch. 1 and 2 Submit at least one question on the course material and at least one “example” exam question in Canvas discussion boards by 9am Monday Submit HW 3 Day 13: Review (ppt) Discussion board Q&A Review handout Review problems (sols) Exam 1 (Ch. 1 & 2) Day 14: Factorial designs (3.1) Handout (pdf) (ppt) (anno) MultipleVariables applet To Do: Read/Video Section 3.1, 3.2 Review project assignment Day 15: Interactions (3.2) (ppt) Lab 7 (Word or Google)  pitch To Do: Submit initial project proposal Read/Video Section 3.2 for Monday quiz Day 16: Statistical significance of interactions (3.3)  Section 3.3 Quiz in Canvas Handout (pdf) (ppt) (anno) Two-way ANOVA applet Ch3Strawberries.txt To Do: Submit initial project proposal (each person) in Canvas Read/video Section 3.4 Review exam solutions in Canvas Coming soon: Project peer reviews (not your own) HW 4 (Ch. 3) Day 17: Interactions with observational studies (3.4) (ppt) Lab 8 (Word or Google) Techology instructions  comparing output To Do: Two peer reviews in Canvas (due Friday) Read Exam 1 solutions Read Chapter 3 summaries Read/video Section 4.1 Day 18: Categorical vs. Quantitative explanatory variables (4.1) Handout (pdf) (ppt) (anno) MultipleVariables applet To Do: Two peer reviews in Canvas (due Friday) Read/video Section 4.2 (preliminaries - equations of lines) Day 19: Inference for regression (4.2)Lab 9 (Word or Google)Two Quantitative Variables appletStepsHR.txtTo Do: Due: Project peer reviewsHW 4Continue 4.1/4.2 for Monday's quiz Day 20: Two quantitative variables (cont.) (4.1, 4.2)Section 4.2 quizHandout (pdf) (ppt) (anno)Two Quantitative Variables appletStepsHR.txtMultipleVariables appletTo Do: Read/video Section 4.3 Day 21: Effect vs. Indicator coding (4.3) (ppt)Lab 10 (Word or Google)MultipleVariables appletTo Do: Start HW 5 Optional: Follow-up video from the past (8 min), two typos?Read/video Section 4.4 Day 22: Interactions (4.4) Section 4.4 quizHandout (pdf) (ppt) (anno)PatientSatisfaction.txt To Do: Read/video Section 4.5 Day 23: Multiple categories (4.5) (ppt)Lab 11 (Word or Google)HW 5To Do: Submit HW 5 (due Mon evening)Begin review for Exam 2 Day 24: More practice with adjusting (see also section 2.3)Handout (pdf) (ppt) (anno)MultipleVariables appletTo Do: Submit HW 5Exam 2 reviewEmail me your "informed consent" portion of your project if using humans!Halloween fun facts! Day 25: Case study (ppt)Lab 12 (Word or Google)Two Quantitative Variables appletMultipleVariables appletmemory.txtTo Do: Submit at least one question on the course material and at least one “example” exam question in Canvas discussion board by 9am Wednesday Day 26: Review (ppt)Discussion board Q&AReview handoutReview problem (sols)CKD.txtOptional: Review session in Zoom Office Hours room, 7-8pmrecording  (Passcode: Sm!yz#Q5) Exam 2 (Ch. 3-4) CalculatorTwo pages of notesTo Do: Finish collecting project data Day 27: Response surfaces (5.1) Handout (pdf) (ppt) (anno)Biodiesel.txtTo Do: Start HW 6Review Exam 2 solutionsRead/Video Sections 5.1 and  5.2 Day 28: Observational data (5.2) (ppt)Lab 13 (Word or Google)SLO2017.txtTo Do:Continue HW 6Read/Video Section 5.3 Day 29: ContinuedHandout (pdf) (ppt) (anno)SLO2017.txtTo Do:Continue HW 6 Day 30: Transformations/Polynomial models (5.3) (ppt)With Lab 13 partnerLab 13 questions 12-14 (submit as part 2)Lab 14 (Word  or google)KYDerby22.txtTo Do:Continue HW 6 (due Monday night)No Friday office hours this week. Sunday night? Day 31: Catch up (Finish Ch. 5) (ppt)Quick DemoReview Lab 13Submit Lab 14Quiz (Ch. 5) in CanvasAsk HW 6 questionsOptional: Practice problemTo Do: Submit HW 6Introduction to Odds RatiosRead/Video Section 6.2Optional: 6.1Optional: Submit Project update (Friday) Day 32: Logistic regression (6.2, 6.3) (ppt)Lab 15 (Word or Google)Whickham.txtTo Do:Read/Video Section 6.3 (quiz) Day 33: Logistic regression cont.Handout (pdf) (docx) (ppt) (anno)donner.txtTo Do:Read Random vs. Fixed effects Day 34: Fixed vs. random effects (ppt)Lab 16 (Word or Google)sunscreen.txtTo Do:Projects! (Submit update?)Skim Ch. 7Friday office hour on zoom at noon Day 35: Case study (Ch. 7) (ppt)Handout (pdf- 4p) (sols) (anno)pppub22.csvMultiple variables appletProject prepTo Do: Prepare project presentationsSend access to visuals in advanceCal Poly course evaluation form (Canvas)BC course evaluation form Day 36: Presentations Day 37: Presentations Day 38: Review (ppt)To Do: Submit final reportsSubmit project evaluationsSubmit course evaluationsSunday (Chance Zoom Room) review sessions:9-10am4-5pm  (recording) Office hours: 9-11amFinal exam - Section 1 (1:10-4pm) Office hour: 12:30-1:30 pmReview session (Chance Zoom Room) 7-9pm (recording) Office hour: 12:30-1:30 pmFinal exam - Section 2 (4:10-7pm)