MATH 107

Elementary Statistics
Fall 2016

Instructor:
Prof. Adam Loy

R Help Sessions:
Mon., Wed., Thurs. 7:30-8:30 pm
Stats Lab: 421 Briggs




Calendar

The course calendar will be updated throughout the term to reflect what we have covered/will cover in class. Additionally, homework assignments and reading/viewing assingments will be posted here. You should check this page often.

Take note of the following conventions:

Week Date Topic/Materials Lab/Assignment Reading/Videos
1 Mon 9/12 Intro to statistical thought
(Intro to 107, Intro to data)
Day 1 Questionnaire
HW0 (due Wed 9/14)

HW1 (due Fri 9/16)
(Solutions)
hpi.csv
Syllabus
Wed 9/14 Tidy data + statistical graphics
(Tidy data, Stat graphics)
Read 1.1, 2.1, 2.2 (p. 60-64)
Fri 9/16 Intro to R + statistical graphics HW2 (due Tues 9/20)
(Solutions)
Read 2.4, 2.5 (p. 103-106),
Why R?, and R and RStudio Basics
Take reading quiz
2 Mon 9/19 Intro to R + statistical graphics
(R markdown lab template)
Lab 1 (due 9/23)
AmesHousing.csv

HW3 (due 9/26 in class)
(Solutions)
hpi.csv
Read prelab
Watch R tutorials on installing and loading packages,
importing a dataset into RStudio,
and data visualization using ggplot2
Take reading quiz
Wed 9/21 Intro to R + Summary statistics
(Slides)
Read 2.1, 2.2 (p. 64-68), 2.3
Watch Mean & median, Standard deviation
Take reading quiz
Watch R markdown for lab 1
Fri 9/23 Summary statistics
(R example: html, rmd)
HW4 (due 9/27)
(Solutions)
Watch Summary statistics in R
3 Mon 9/26 Data Wrangling
(R command patterns)
Lab 2 (due 9/28)
(rmd version of lab, colleges2015.csv)
Read Manipulating Data
Wed 9/28 Sampling
(Sampling in R)
Aribtrary sampling results
Random sampling results
Read 1.2
Take reading quiz
Fri 9/30 Causality and experiments
(Slides)
Read 1.3
Take reading quiz
4 Mon 10/3 Wrap up and review
Wed 10/5 Exam 1
(Review Materials, Solutions)
Fri 10/7 Randomization (permutation) tests Lab 3 (Solutions)

HW 5 (Solutions) (due 10/11)
Verizon.csv
Read 4.1
Watch John Rauser's keynote from Strata + Hadoop 2014
5 Mon 10/10 Formalizing hypothesis tests
(Slides)
Read 4.2, 4.3
Take reading quiz
Complete midterm course evaluation
Wed 10/12 Testing a difference in proportions Lab 4 (Solutions) Read 4.4
Fri 10/14 From testing to estimation
(Slides: Statistical errors)
HW 6 (Solutions)
(due 10/19 in class)
6 Mon 10/17 Sampling distributions and CIs
(slides)
Lab 5 Read 3.1, 3.2
Take reading quiz
Wed 10/19 Bootstrap CIs Lab 5 – Part II

Extra credit homework (Solutions)
Read 3.3
Take reading quiz
Fri 10/21 No Class – MTRP
7 Mon 10/24 Bootstrap CIs
(Slides)
Wed 10/26 Wrap up and review
Fri 10/28 Exam 2
(Review Materials, Solutions)
8 Mon 10/31 Correlation and intro to simple linear regression
(slides)
HW 7 (due 11/8) Read: 2.5, 2.6
Watch: Slope-intercept form
Wed 11/2 Simple linear regression in R Lab 6 (Solutions) Take reading quiz
Fri 11/4 Regression inference and diagnostics
(Slides)
9 Mon 11/7 Normal distribution
(Slides)
HW 8 (due 11/14 at the beginning of class) Read 5.1
Watch Finding probabilities
Watch Finding cutoff points
Take reading quiz
Wed 11/9 Normal distribution Read 5.2
Watch Central Limit Theorem
Take reading quiz
Fri 11/11 t-dsitribution and inference
(Slides)
HW 9 (due 11/16) Read 6.4-6.6
10 Mon 11/14 One-sample procedures
Wed 11/16 Wrap up and review
Fri 11/18 No Class – Reading Period
Finals Tues 11/22 11:10 section Final exam @ 8:00 to 10:30 a.m.
(Review Materials)
Tues 11/22 1:50 section Final exam @ 11:30 a.m. to 2:00 p.m.
(Review Materials)