BIM 105 Fall 2019
Probability and Statistics for Biomedical Engineers

Course Outline, Learning Objectives, and Online Resources.

David M. Rocke:

140B Med Sci 1C (752-6999)
e-mail: dmrocke@ucdavis.edu
web site: http://dmrocke.ucdavis.edu/

 

TA:

Hua Li  (hihli@ucdavis.edu).

 

Announcements

Office Hours the week of 12/3:

Monday 12/2 2:00-3:00
Tuesday 12/3 1:00-2:00 (instead of 3:00-4:00)
Wednesday 12/4 3:00-4:00
Friday 12/5 2:00-3:00
or by appointment

Monday 12/9 2:00-3:30

Final Exam 12/9 8:30-10:00pm

Notes on the Final Exam

• The final exam will be given on Monday, December 9, 8:30pm-10:30pm
• The format will be similar to that of the midterm exam
• You may bring one 8.5 by 11 sheet of paper with notes on one or both sides
• You will need a scientific calculator
• Please bring one or more writing instruments
• I will not have calculators or pencils for you to borrow
• Exam questions will generally cover material since the midterm
• Though, obviously, material from earlier in the course is often needed to answer a question from later in the course
• Specifically, most of the questions will be from Sections 5.4–5.7, 6.5–6.8, 6.10, 6.12, 6.13 and Chapters 7 and 8 in the text, Lectures 9–15, Homeworks 5–7
• MATLAB questions will involve only interpretation, not coding
• The Thursday, December 5 class will be in part a final exam Q&A session, so bring questions
• Also on 12/5 we will go over the solutions to the homework that is due that day.

 

Regular office Hours are Tuesdays and Wednesdays 3:00–4:00 or by appointment

Readings

Statistics for Engineers and Scientists. 5th Edition
William Navidi, McGraw Hill 2020 (ebook)

September 26, 2019, Sections 1.1, 1.2
LearnSmart assigned for 10/1

October 1, 2019, Section 1.1, 1.3
LearnSmart for 1.1–1.3 due 10/1/19 before class

October 3, 2019, Sections 2.1–2.3
LearnSmart due 10/3/19 before class

October 8, 2019, Sections 2.4 and 2.5
LearnSmart due 10/9/18 before class

October 10, 2019, Sections 4.1–4.3
LearnSmart due 10/11/18 before class

October 15, 2019, Sections 4.5–4.7, 4.9–4.11
LearnSmart due 10/15/19 before class

October 17, 2019, Sections 5.1, 6.1, 6.2
LearnSmart due 10/17/19 before class

October 22, 2019, Sections 5.2, 5.3, 6.3, 6.4
LearnSmart due 10/22/19 before class

October 24, 2019, Sections 5.4–5.7, 6.5–6.8
LearnSmart due 10/24/19 before class

October 29, 2019, Q&A for Midterm

October 31, 2019, Midterm Exam

November 5, 2019, Sections 6.10, 6.12–6.14
LearnSmart due 11/5/19 before class

November 7, 2019, Sections 7.1, 7.2
LearnSmart due 11/7/19 before class

November 14, 2019, Section 7.3
LearnSmart due 11/14/19 before class

November 19, 2019, Sections 7.4, 8.1
LearnSmart due 11/19/19 before class

November 21, 2019, Sections 8.2, 8.3
LearnSmart due 11/21/19 before class

December 3, 2019, Sections 9.1–9.3

 

Lectures

Lecture 1—Course Introduction, Summaries of Data
September 26, 2019

Lecture 2—Graphical Summaries, Samples, Populations, and Experiments
October 1, 2019

Lecture 3—Probability
October 3, 2019

Lecture 4—Random Variables
October 8, 2019

Lecture 5—Commonly Used Discrete Random Variables
October 10, 2019

Lecture 6—Commonly Used Continuous Distributions, The Central Limit Theorem, Probability Plots
October 15, 2019

Lecture 7—Properties of Estimators, Large Sample Confidence Intervals and Hypothesis Tests for the Mean
October 17, 2019

Lecture 8—Small Sample Confidence Intervals and Hypothesis Tests for the Mean, Confidence Intervals and Hypothesis Tests for Proportions
October 22, 2019

Lecture 9—Confidence Intervals and Hypothesis Tests for Differences of Means and Proportions, Paired Data, Variances
October 24, 2019

October 29, 2019 Q&A for Midterm

October 31, 2019, Midterm Exam

Midterm Exam Discussion
November 5, 2019

Lecture 10—Chisquared tests, Power, Sample Size, and Multiple Testing
November 7, 2019

Lecture 11—Correlation and the Least Squares Line
November 12, 2019

Lecture 12—Inference for Simple Linear Regression
November 14, 2019

Lecture 13—Checking Assumptions, Data Transformation, Multiple Regression
November 19, 2019

Lecture 14—Confounding and Collinearity, Model Selection
November 21, 2019

Lecture 15—Factorial Experiments
December 3, 2019

Homework 7 Solutions
December 5, 2019

 

Homework Assignments

No late homework will be accepted.
LearnSmart: must be done before class.
Connect Assignments: must be done before class on the due date.
Written Assignments: must be handed in by the end of class on the due date.

LearnSmart due before class 10/1/19 and 10/3/19
Homework Assignment 1, Part 1 via Connect due before class 10/3/19
Homework Assignment 1, Part 2 due in class 10/3/19

Wright data set

LearnSmart due 10/8/19 and 10/10/19
Homework Assignment 2, Part 1 via Connect due before class 10/10/19
Homework Assignment 2, Part 2 due in class 10/10/19

HW2.csv

LearnSmart due 10/15/19 and 10/17/19
Homework Assignment 3, Part 1 via Connect due before class 10/17/19
Homework Assignment 3, Part 2 due in class 10/17/19

malaria.csv

LearnSmart due 10/22/19 and 10/24/19
Homework Assignment 4, Part 1 via Connect due before class 10/24/19
Homework Assignment 4, Part 2 due in class 10/24/19

LearnSmart due 11/5/19, 11/7/19, 11/12/19, and 11/14/19
Homework Assignment 5, Part 1 via Connect due before class 11/14/19
Homework Assignment 5, Part 2 due in class 11/14/19

LearnSmart due 11/19/19, and 11/21/19
Homework Assignment 6, Part 1 via Connect due before class 11/21/19
Homework Assignment 6, Part 2 due in class 11/21/19

HW6-3.csv

LearnSmart due 12/3/19
Homework Assignment 7, Part 1 via Connect due before class 12/5/19
Homework Assignment 7, Part 2 due in class 12/5/19

HW7-2.csv
HW7-3.csv
HW7-4.csv

 

 

 

Notes on the Midterm Exam

• The midterm exam will be given on Thursday, October 31 in class, 6:10–7:30
• You may bring one 8.5 by 11 sheet of paper with notes on one or both sides
• You will not need bluebooks or scratch paper—you will write only on the exam.
• You will need a scientific calculator
• Please bring one or more writing instruments
• I will not have calculators or pencils for you to borrow
• The material covered will be Chapters 1, 2, 4, 5, and 6 (through 5.3 and 6.4), Lectures 1–8, Homeworks 1–4
• There will be extended/additional office hours on Monday, October 28, 3:00-4:00 and Wednesday, October 30, 3:00–5:00
• Regular office hours on Tuesday October 29 will be 2:30–3:30 instead of 3:00–4:00
• The Tuesday, October 29 class will be a midterm Q&A session, so bring questions
• The problems will be similar to homework problems. None will require large amounts of arithmetic
• MATLAB questions will involve only interpretation, not coding