Statistics & Probability | Instructor: Suman Ganguli

Category: Course Activities (Page 3 of 4)

Project #1: Personal Data Collection & Analysis

For this project, you will collect and analyze data regarding some “personal metric” of your choosing. This project will count as 5% of your course grade.

Choose your variable:

Choose something you’re interested in measuring about your daily life. We will discuss some examples in class this Wednesday (and we will post some ideas in the comments below).

You can get some ideas by searching the web for “quantified self” or “self-tracking.” In fact, there is a recent MIT Press book titled Self-Tracking, which has this in its description:

People keep track. In the eighteenth century, Benjamin Franklin kept charts of time spent and virtues lived up to. Today, people use technology to self-track: hours slept, steps taken, calories consumed, medications administered. Ninety million wearable sensors were shipped in 2014 to help us gather data about our lives. This book examines how people record, analyze, and reflect on this data, looking at the tools they use and the communities they become part of.

https://mitpress.mit.edu/books/self-tracking

Deadline: Choose your variable by Monday, Feb 22.

Data collection:

After you have chosen your personal variable, start recording your data on a (more or less) daily basis:

  • Set up a spreadsheet with columns for “Date” and “[Variable name]”; you can also include a third column for “Notes.”
  • Each day, enter the data in your spreadsheet.
  • Use the optional “Notes” column to record any information that may be useful later when you analyze your data (for example, to explain outliers).

Data analysis:

At the end of the semester you will use your spreadsheet to

  • create a frequency table and histogram using your data
  • create a time series plot of your data;
  • compute the standard summary statistics (mean, median, variance, standard deviation);
  • briefly describe (in 1-2 paragraphs) the distribution and analyze the summary statistics.

Further details (and an example) on how to describe the distribution and analyze the summary statistics will be discussed in class over the course of the semester.

Technology Survey

Please tell me about the technology and working space that you have available to complete your coursework.  Feel free to share any additional information in the last question box. All responses are private.

Submitting this survey will earn you one point towards the Participation component of your course grade.

Student Survey

  • Credits: This survey is based on a survey created by Maura Smale and Mariana Regalado.

First OpenLab Assignment: Introductions & Mathography

Your first OpenLab assignments are to

  1. join the course group, and
  2. introduce yourself to your classmates (see below).

This assignment is due Tuesday, February 9.  Each of these assignments will earn you one point towards the Participation component of your course grade. Late submissions will receive partial credit.

Introduce yourself: Post a comment in reply to this post introducing yourself to the class.  Your comment should be at least 2 paragraphs in length. 

  1. In the first paragraph, introduce yourself in whatever way you wish. You could include:
  • your academic interests, including your major if you have chosen one;
  • where you’re from and/or where you currently live;
  • where you went to high school;
  • what you enjoy reading, listening to, watching, and doing in your spare time;
  • and anything else you want to share (include your pronouns, if you wish). 

2. In the second paragraph, choose ONE of the following two topics and write a short response:

Topics (choose ONE).

  1. Was math ever your favorite subject? If so, when was it? What about math made it your favorite? If math has never been your favorite subject, what about it do you not like?
  2. Sometimes people can recognize a time when their opinion of math dramatically changed either for the better or the worse. Tell us about it.

Extra Credit. Get to know your classmates! For extra credit, write a response to one of your classmates’ comments (use the “Reply” button under a given comment). Do you have similar interests? Did you learn anything? Do you have any advice? Please be kind!

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