Spring 2017 Math 58B HW Schedule
Introduction to Biostatistics
Math 58B, Spring 2017
Jo Hardin
2351 Millikan
jo.hardin@pomona.edu
Office Hours: Tuesday 10am – 12pm, Thursday 1:003:30pm, or by appointment
Mentor: Madison Hobbs
Mondays 79pm and Thursdays 68pm in Millikan 2131
LiCMath Mentor: Maria Martinez
Time TBD
Exam 1 (Monday, Feb 27)
Exam 2 (Wednesday, April 12)
Final Exam (Monday, 5/08/17, 9am — inclass and take home portions)
Text: I will follow ISCAM reasonably closely. The examples are quite insightful, and if you read them closely, you will gain a deep understanding of the course material. I have posted the daily sections on the course homework page. It would do you well to read over the text before we cover the material in class.
Investigating Statistical Concepts, Applications, and Methods, by Chance & Rossman (purchase the R version here for $5: http://rossmanchance2.myshopify.com/collections/r1)
ISCAM website with homework & applets
Some of the topics we cover will come from: Introductory Statistics with Randomization and Simulation, by Diez et al. (https://www.openintro.org/stat/textbook.php?stat_book=isrs). The relevant sections have been matched to ISCAM on the HW schedule.
Handouts:
 DataCamp free R tutorial https://www.datacamp.com/courses/freeintroductiontor
 Youtube videos on getting started with R and RStudio: Introduction to RStudio
 R documentation / help
 swirl package
 Google for R: http://www.rseek.org/
 R tutorial
 An Introduction to R, Venables & Smith
 R Language Definition, R Core Team
 Another tutorial, with exercises & solutions
 Mosaic Reference Guide, need to install the mosaic package
 A Student’s Guide to R; Horton, Pruim, Kaplan (click on “Raw” to download)
 Data Wrangling Cheatsheet: http://www.rstudio.com/resources/cheatsheets/
 Clicker Questions
 Reflection Questions
 Confidence Intervals and Hypothesis Testing Cheat Sheet
 Advice for Exam 1
 Advice for Exam 2
 Advice for the Final
 When to use what
Date  ISCAM section (inclass) 
ISRS section  Lab (Fri 11am) 
Due dates
HW: Wednesday (in class) Lab: Friday (in lab) 
Wednesday 1/18  1.1  
Friday 1/20  Lab #1 Introduction to R  syllabus quiz  
Monday 1/23  1.2 & 1.4 & 1.5  ISRS Appendix A  
Wednesday 1/25  1.7  HW #1  
Friday 1/27  Lab #2 Probability  Lab #1 Introduction to R  
Monday 1/30  1.8  ISRS 2.52.7  
Wednesday 2/1  1.9  ISRS 2.52.7  HW #2  
Friday 2/3  Lab #3 Normal Distribution  Lab #2 Probability  
Monday 2/6  1.10  ISRS 2.8  Advice: knit early and often. Do NOT wait until you’ve finished the assignment to try knitting for the first time.  
Wednesday 2/8  1.12 & 1.14 & 1.13  ISRS 1  HW #3
Chapter 1 summary 

Friday 2/10  Lab #4 Introduction to Data  Lab #3 Normal Distribution  
Monday 2/13  2.4 (& 2.3)  ISRS 4.1  
Wednesday 2/15  2.5  ISRS 4.1  HW #4  
Friday 2/17  Lab #5 Intervals  Lab #4 Introduction to Data  
Monday 2/20  2.9  ISRS 4.5  statkey applets 
Chapter 2 summary 
Wednesday 2/22  catchup  HW #5  
Friday 2/24  Lab #6 Numerical Inference  Lab #5 Intervals  
Monday 2/27  exam 1  
Wednesday 3/1  3.1  ISRS 1  Lab #6 Numerical Inference  
Friday 3/3  no lab  
Monday 3/6  3.2 & 3.3  ISRS 1  Take home exam due (in class)  
Wednesday 3/8  3.4 & 3.5  ISRS 1  HW #6  
Friday 3/10  Lab #7 DataCamp (ggplot)  
Monday 3/13  spring break!  
Wednesday 3/15  spring break!  
Friday 3/17  spring break!  
Monday 3/20  3.6 & 3.7  ISRS 2  
Wednesday 3/22  3.8  ISRS 2  HW #7  
Friday 3/24  Lab #8 Categorical Inference & pvals  Lab #7 DataCamp (ggplot) — complete at DataCamp, nothing to turn in  
Monday 3/27  3.9  
Wednesday 3/29  3.10  HW #8  
Friday 3/31  no lab – Cesar Chavez  
Monday 4/3  4.1 & 4.4  Chapter 3 summary  
Wednesday 4/5  4.2 & 4.3  ISRS 4.3  HW #9  
Friday 4/7  No Lab (finish DataCamp – nothing to turn in on paper)  
Monday 4/10  4.5 & 4.6  ISRS 4.3  HW NOT DUE click to see assignment  Chapter 4 summary 
Wednesday 4/12  exam 2  
Friday 4/14  no lab  No Lab (finish DataCamp – nothing to turn in on paper)  
Monday 4/17  5.1 & 5.2  ISRS 3.3 & 3.4  Take home exam due (in class)  
Wednesday 4/19  5.4 & 5.5  ISRS 4.4  HW #10  
Friday 4/21  Lab #9 Bootstrapping 2 Samples

no lab due  
Monday 4/24  5.8  ISRS 5  
Wednesday 4/26  5.10 & 5.11  ISRS 5  HW #11  
Friday 4/28  ISRS 5  Lab #10 Simple Linear Regression  Lab #9 Bootstrapping 2 Samples  
Monday 5/1  multiple regression  ISRS 6  Read NYT on ethics of clinical trials  
Wednesday 5/3  ISRS 6  multiple regression  HW #12 (NOT DUE!)  
Monday 5/8 – 9am  Final Exam – Take Home Due 