Spring 2017 – Math 58B HW

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 1:00-3:30pm, or by appointment

Mentor: Madison Hobbs
Mondays 7-9pm and Thursdays 6-8pm in Millikan 2131

LiCMath Mentor: Maria Martinez
Time TBD

Homework Assignments

Exam 1 (Monday, Feb 27)

Exam 2 (Wednesday, April 12)

Final Exam (Monday, 5/08/17, 9am — in-class 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://rossmanchance-2.myshopify.com/collections/r-1)

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:

 

Date ISCAM section
(in-class)
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 2.5-2.7    
Wednesday 2/1 1.9 ISRS 2.5-2.7    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 catch-up      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 Lab #7 DataCamp (ggplot) — complete at DataCamp, nothing to turn in
Monday 3/27 3.9      
Wednesday 3/29 3.10     HW#8

 Lab #8 Categorical Inference

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     Lab #9 DataCamp (TBD)  
Monday 4/10 4.5 & 4.6 ISRS 4.3    Chapter 4 summary
Wednesday 4/12 exam 2      
Friday 4/14     no lab  Lab #9 (complete at DataCamp – nothing to turn in)
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   ISRS 3.3 & 3.4 Lab #10 Chi-square  
Monday 4/24 5.8 ISRS 5    
Wednesday 4/26 5.10 & 5.11 ISRS 5    HW#11
Friday 4/28    ISRS 5 Lab #11 simple linear regression  Lab #10 Chi-square
Monday 5/1 multiple regression ISRS 6    Chapter 5 summary
Wednesday 5/3   ISRS 6 multiple regression  HW#12

 Lab #11 SLR

Monday 5/8 – 9am Final Exam – Take Home Due