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Schedule and Syllabus

Welcome to course website for MATH/STAT 146 - Introductory Biostatistics! On this page you can find all materials we’ll use throughout the semester, starting with the syllabus linked below:

You can find course content by scrolling, or by using the navigation bar in the upper left.

Please note that material will not be posted until we’ve reached that point in the course. Additionally, some topics and activities that listed far into the future may be subject to change.

Daily Graphs

For the first couple of weeks in the semester we’ll begin each class by discussing a graph appearing in a media piece. Below is a compendium of the different daily graphs we’ve discussed:

In-class Labs

Throughout the semester we will practice applying key concepts in applications involving real data during in-class labs. During labs, you will work collaboratively in a group of 2-3 students to progress through a guided data analysis. You will have the majority of class to work independently with your group, and we will will often go over a few key questions towards the end of class. Your group will be expected to turn-in a lab write-up.

Homework Assignments

Homework will be assigned weekly and should be submitted electronically via Canvas in the form of either a scanned hand-written document, a series of legible images of your hand-written responses, or a typed document.

  • Homework #1: 1.15, 1.16, 1.22, 2.18, 2.78, 2.79, 2.80, 2.123, 2.126
    • Due date: Friday 1/14 at 11:59pm
  • Homework #2: Click here for questions
    • Due date: Friday 1/28 at 11:59pm
    • Note: you are expected to use StatKey on this assignment
  • Homework #3: 1.61, 1.65, 3.25, 3.28, 3.32, 3.101, 3.102, 3.130
    • Due date: Friday 2/4 at 11:59pm
  • Homework #4: 6.21, 6.22, 6.103, 6.104, 6.155, 6.156, 6.212
    • Due date: Wednesday 2/16 at 11:59pm
  • Homework #5: 1.96, 1.97, 1.98, 1.99, 1.104, 1.114, 1.117, 1.120, 1.121
    • Due date: Friday 2/25 at 11:59pm
  • Homework #6: 4.16, 4.18, 4.71, 4.75, 4.78, 4.172, 4.174
    • Due date: Friday 3/4 at 11:59pm
    • Note: some questions involve data from this page
  • Homework #7: 6.53, 6.56, 6.58, 6.60, 6.133, 6.136, 6.141, 6.142
    • Due date: Friday 3/25 at 11:59pm
    • Note: perform all hypothesis tests using a Z or T test (not a randomization test in StatKey)
    • Note: some questions involve data from this page
  • Homework #8: 6.173, 6.174, 6.177, 6.182, 6.233, 6.242, 6.246, 6.252
    • Due date: Monday 4/4 at 11:59pm
    • Note: perform all hypothesis tests using a Z or T test (not a randomization test in StatKey)
    • Note: some questions involve data from this page
  • Homework #9: 7.13, 7.16, 7.19, 7.22 7.45, 7.46, 7.51, 7.54, 7.57, 7.58
    • Due date: Friday 4/15 at 11:59pm
    • Note: some questions may involve data from this page
  • Homework #10: 8.15, 8.17, 8.18, 8.19, 8.39, 8.42
    • Due date: Wednesday 4/27 at 11:59pm
    • Note: some questions may involve data from this page

Exam Dates and Information

There will three exams throughout the semester on the following dates (announced at least 14 days in advance)

  • Exam #1 - Friday 2/18 during class
  • Exam #2 - Monday 3/28 during class
    • This exam is computer-based, open notes, and requires the use of StatKey
    • A practice exam (with solutions) is available under the “Quizzes” tab on Canvas
  • Exam #3 - Friday 4/29 (open from 7am to 4pm)
    • This exam is computer-based, open notes, and requires the use of StatKey
    • A practice exam (with solutions) is available under the “Quizzes” tab on Canvas

You can expect each exam to take an entire 50-minute class session.

Final Project Information

This class contains a final project that is due at the end of the semester (during final’s week). Details can be found below:

  • Final Project Information
  • Projects are due by the end of the day on your section’s assigned final exam time slot:
    • Monday, May 2 for Math-146-01
    • Wednesday, May 4 for Math-146-02

Datasets

Dataset links and descriptions will be added here as we use them throughout the semester.

  • Happy Planet
    • This dataset was assembled by The Happy Planet Index using data from a global survey that asks respondents questions about how they feel their lives are going. It documents the health and well-being of the inhabitants of various nations around the world.
  • Breast Cancer
    • These data document the survival times women who died of breast from their diagnoses. They are a subset of a broader dataset that included survivors. In addition to survival time, the data also include tumor measurements, grades, and other clinical covariates that might be predictive of survival.
  • Colleges 2019
    • This dataset contains select variables describing higher education institutions that primarily bachelors degrees. It was obtained from the College Scorecard, a comprehensive government database. For each institution, it includes enrollment and admissions variables, student demographics, costs and faculty salaries, as well as student outcomes such as median debt upon graduation and median 10-year salary.
  • Ohio Counties 2021
  • Resting Metabolism
    • These data contain the resting metabolic rates and body weights of 44 adult women. The dataset appears in the textbook “Practical Statistics for Medical Research”.
  • Death Penalty Sentencing
  • Wetsuits
    • This dataset contains 1500m swim velocities for 12 competitive swimmers when wearing a specially designed wetsuit and without the wetsuit. These data were originally obtained from the Lock5stat data page.