Instructor
 Ellen Fireman

Email
 Please send emails to: statistics100uiuc@gmail.com.
(Don't mail to my illinois account since it'll just get forwarded to the account above and take longer.)

Office/Lab Hours
 There's a computer lab in
24 Illini Hall where you can get help from me and Stat 100
TAs MTWRF 47 pm
Check Computer Lab/Tutoring Room for schedule.
 Lon Capa help
 Ask questions on Lon Capa and/or visit 24 Illini Hall MF 47pm

TAs
 Jacqueline Capron (Head TA)
David Collier (Lon Capa and Technical Specialist)
WenLi Chen
Steve Flanagan
Celeste Guzman
Amanda Hwu
Jill Moore
TA Email:statistics100uiuc@gmail.com

Required Text:
(available at TIS and IUB) 
STAT 100 Incomplete Lecture Notes PURPLE SPRING 2014 edition , by Ellen Fireman.
STIPES (Must buy Purple Spring 2014 edition, no extra credit will be given for previous versions.) (This is a workbook we fill in together in class worth extra credit, previous editions will NOT be accepted)

Required Materials:

iclicker 1 or 2, either version is fine, no need to buy the new version. (available at UIB and TIS)
Calculator (required for all exams, any type of calculator is allowed).

Recommended Text (No need to buy)
 Statistics, by Freedman, Pisani, and Purves.
Any Edition, Norton (on reserve in the computer lab/tutoring room in 24 Illini Hall Available cheap (~$5) online too.
 Course Webpage
 Google stat 100 and it's the first thing that comes up
or
http://www.stat.uiuc.edu/courses/stat100/
 LONCAPA Site
 http://www.loncapa.uiuc.edu
All homework and bonus work is submitted and graded immediately on Lon Capa.
 Compass Site
 https://compass2g.illinois.edu
We're using Compass as a Gradebook only. (Lon Capa's gradebook is too confusing, so check your grades on Compass.)

Outline of course content
Experimental Design  Why randomized controls are key. What the possible confounders in observational studies are.
Descriptive Statistics  mean, median, SD, histograms, normal curve, etc.
Linear Regression  correlation coefficient, regression equation, etc.
Probability
Statistics for Chance Numbers  expected value and Standard error of chance processes, probability histograms and convergence to normal curve. Focus is on developing simple chance models (box models drawing numbers at random from a box) that more complicated sampling processes can be translated into.
Sampling and Statistical Inference  Using sample means and percents to estimate population means and proportions, and attaching margins of errors to our estimates by computing confidence intervals. Why randomized sampling is key.
Hypothiesis Testsone sample and two sample Ztests, ttests and chisquare tests for goodness of fit and independence. Focus is on understanding how these tests depend on chance models
Limits of Significance Tests understanding what the Pvalue means and under what circumstances it is valid (for example, hypotheses must be stated before looking at the data, the total number of experiments before significant results were found must be reported, etc.)
Grading
Grade for required work
3 Exams (each worth 20 % ):  60 % 
Homework:  15% 
Final Exam :  25% 
Bonus PointsYou may earn between 0 and 100 Bonus Points.
Every Bonus Point earned helps your overall grade, but even if you do no Bonus Work, you can still get 100% for the course.
In other words, bonus points can only help you.
Bonus points are extra credit. Bonus points are awarded for:
 iClicker Points 25 pts.
There will be 2 types of clicker questions:
1. Participatory Discussion Questions where you get credit just for answering the question.
2. Combined participation/graded questions which are 50% participation, 50% correct answer.
There are 29 classes, each worth 1 bonus point. Your 4 lowest bonus scores are dropped. In other words, you can miss up to 4 classes and still score the maximum 25 points.

PreLecture bonus points 25 pts.
Each class there will be a short prelecture videos posted on Lon Capa followed by a few questions. The prelectures are designed to give you a preview of the basic concepts you'll see in the actual lectures.
Prelectures are due by 11:59 pm the day of the lecture allowing students who would prefer to see the lecture first a chance to do so.

Dropped homework bonus points 10 pts.
10 percent points are added to everyone's homework.
If this puts your hw average over 100%, the extra points count as bonus points.
For example, if you have a 98% on the homework, 98% + 10% =108%, so your hw score =100% and you get 8 bonus points.
 Lon Capa Surveys10 pts.
There will be 5 surveys due on the first Friday of each month (see calendar). Each survey is worth 2 Bonus pts.
The surveys are all anonymous. Lon Capa just records whether or not you
submitted a survey, not who submitted which answer. You must answer every question on the survey to get the 5pts.
 Completed Notebook15 pts.
The Completed Notebook is worth 15 bonus pts.
You get 15 points if you have all the WHITE pages filled in.
You may skip ALL the colored pages and summary pages.
We'll look over your notebooks at the final and if the
lectures are filled in you'll receive all 15 bonus points. If you're missing more than 3 white pages don't bother to turn in the notebook b/c you'll get a 0. So go to Lectures and fill in your missing pages if you want the 15 points.
Bonus
points can only help you. You can still get 100% without doing any bonus
work. Bonus points are figured into your grade as follows:
(Percentage on Required Work) + ( Percentage
on Bonus Points)/4
100 + (Percentage on Bonus Points)/4
Suppose at the end of the semester you have a 75% average
and you did 100% of the bonus work. 100/4 = 25, so add 25 to the numerator and
denominator to get:
(75 + 25)/ (100 + 25) = 100/125=
80.
So your grade would be raised from a 75% to an 80%.
Overall Grade is Translated into a Letter Grade as follows:
A+ 
97100 
A 
9396.99 
A 
9092.99 
B+ 
8789.99 
B 
8386.99 
B 
8082.99 
C+ 
7779.99 
C 
7376.99 
C 
7072.99 
D+ 
6769.99 
D 
6366.99 
D 
6062.99 
 
F 
< 59.99 
 

