---
title: "syllabus"

---

# Syllabus

title           | Introduction to Statistics
course          | Math 2510
section         | 001
term            | Fall 2019
campus          | CU Boulder
credits         | 3 units
link            | <https://math2510.coltongrainger.com>

## [tl;dr](https://en.wiktionary.org/wiki/too_long;_didn%27t_read)

schedule      | <https://trello.com/b/es4osv4Z/math2510>.
textbooks     | <https://openintro.org/os> ([pdf](https://math2510.coltongrainger.com/assets/2019-openintro-statistics.pdf))
lectures      | <https://www.openintro.org/stat/videos.php>
prerequisites | <https://math2510.coltongrainger.com/guide/good-to-know.html>
license       | <https://creativecommons.org/licenses/by-sa/3.0>

## instructor

name            | Colton Grainger
www             | <https://coltongrainger.com>
email           | [colton.grainger@colorado.edu](mailto:colton.grainger@colorado.edu)
office          | Math Dept 201
office hours    | <https://go.oncehub.com/coltongrainger>
policy          | 30 minutes ahead to schedule, 15 to cancel

## lectures

meeting room    | Muenzinger E064
meeting time    | 8:00am -- 8:50am Mon/Wed/Fri
first day       | Aug 26, 2019
last day        | Dec 12, 2019

## overview

1. data wrangling (late August)
2. elementary probability and measure (late September)
3. statistical distributions (October)
4. inference and hypothesis testing (November)
5. model selection (December)

## important dates

midterm A        | Wed Oct 16 | in class
project A        | Fri Oct 18 | due by 11:59pm
project B        | Mon Dec 9  | due by 11:59pm
midterm B        | Wed Nov 20 | in class
cumulative final | Wed Dec 18 | 7:30am--10:00am (room TBD)

## exam policy

No make-up exams; please plan ahead.

## assessment policy

To be fair and predictable.

## letter grades

Each of $\{i, r, p, q, a, b, c\}$ will be a real number scored from $0$ (empty) to $1$ (excellent), based on the assessment groups listed:

in-class participation | $i$
reading                | $r$
problem sets           | $s$
projects               | $p$
quizzes                | $q$
midterm A              | $a$
midterm B              | $b$
cumulative final       | $c$

Say that $\gamma$ is your uniform grade in the interval $[0,1]$. Then $\gamma$ has linear dependence on $7$ other random variables,

$$\gamma = \frac{i}{10} + \frac{r}{10} + \frac{p}{10} + \frac{q}{10} + \frac{3a}{20} + \frac{3b}{20} + \frac{3c}{10}.$$

If $\gamma$ is "close" to (within $0.03$ lengths of) one of the real numbers $0.95$, $0.85$ or $0.75$, your letter grade will be $A$, $B$, or $C$. Else your letter grade will be marked with an appropriate $+$ or $-$ (if $\gamma$ is closer than $0.02$ lengths from $1$, $0.9$, or $0.8$, respectively).

## epigram

The pursuit of knowledge, friend, is the askin' of many questions.