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
Time TBD

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/third-edition/products/copy-of-investigating-statistical-concepts-applications-and-methods-3rd-edition-r-pdf)

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 Prob Explor (pgs 27-28) & 1.3 & 1.4 ISRS Appendix A   HW #1
Wednesday 1/25 1.6      
Friday 1/27     Lab #2 Probability Lab #1 Introduction to R
Monday 1/30 1.7 ISRS 2.5-2.7   HW #2
Wednesday 2/1 1.8 & 1.9 ISRS 2.5-2.7    
Friday 2/3     Lab #3 Normal Distribution Lab #2 Probability
Monday 2/6 1.10 ISRS 2.8   HW #3
Wednesday 2/8 1.12 & 1.14 & 1.13 ISRS 1   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   HW #4
Wednesday 2/15 2.5 ISRS 4.1    
Friday 2/17      Lab #5 Confidence & Prediction Intervals  Lab #4 Introduction to Data
Monday 2/20 2.9 ISRS 4.5   HW#5

Chapter 2 summary

Wednesday 2/22 catch-up      
Friday 2/24     Lab #6 Numerical Inference  Lab #5 Confidence & Prediction 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   HW#6
Wednesday 3/8 3.4 & 3.5 ISRS 1    Take home exam due (in class)
Friday 3/10     Lab #6 DataCamp (ggvis)  
Monday 3/13 spring break!      
Wednesday 3/15 spring break!      
Friday 3/17     spring break!  
Monday 3/20 3.6 & 3.7 ISRS 2   HW#7 
Wednesday 3/22 3.8 ISRS 2    
Friday 3/24     Lab #7 Categorical Inference  Lab #6 (complete at DataCamp – nothing to turn in)
Monday 3/27 3.9     HW#8
Wednesday 3/29 3.10      Lab #7 Categorical Inference
Friday 3/31     no lab – Cesar Chavez  
Monday 4/3 4.1 & 4.4     HW#9

Chapter 3 summary

Wednesday 4/5 4.2 & 4.3 ISRS 4.3    
Friday 4/7     Lab #8 DataCamp (quantitative inference?)  
Monday 4/10 4.5 & 4.6 ISRS 4.3    Chapter 4 summary
Wednesday 4/12 exam 2      
Friday 4/14     no lab  Lab #8 (complete at DataCamp – nothing to turn in)
Monday 4/17 5.1 & 5.2 ISRS 3.3 & 3.4    HW#10
Wednesday 4/19 5.4 & 5.5 ISRS 4.4    Take home exam      due (in class)
Friday 4/21   ISRS 3.3 & 3.4 Lab #9 Chi-square  
Monday 4/24 5.8 ISRS 5    HW#11
Wednesday 4/26 5.10 & 5.11 ISRS 5    
Friday 4/28    ISRS 5 Lab #10 simple linear regression  Lab #9 Chi-square
Monday 5/1 multiple regression ISRS 6    HW#12

 Chapter 5 summary

Wednesday 5/3   ISRS 6 multiple regression   Lab #10 SLR
Monday 5/8 – 9am Final Exam – Take Home Due