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Lecture 0: Introduction
Statistics 101
Mine Cetinkaya-Rundel
January 12, 2012
Syllabus & policies
General Info
Classroom: Social Sciences 139Time: Tuesdays and Thursdays 1:15pm - 2:30pm
Professor: Mine Cetinkaya-RundelOffice: Old Chemistry 213Email: [email protected]
Teaching Yingbo Li - [email protected]: Brittany Cohen - [email protected]
Anthony Weishampel - [email protected]
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Syllabus & policies
Course goals & objectives
Introduce you to the discipline of statistics as a science ofunderstanding and analyzing data
Provide you with the tools for solving real world problems usingstatistics and a better understanding of the process of scientificresearch and statistical inferenceBy the end of the class you should be able to
interpret statistical results in context and critique news stories andjournal articles that include statistical information,be comfortable with concepts such as association and causation,random sampling and random assignment, statistical bias andstatistical significance, and to understand and appreciate why realdata beats anecdotes.
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Syllabus & policies
Major topics discussed
Exploratory data analysis: description, summary andvisualization
Principles of experimental design and causal inference
Observational studies and non-causal inference
The basics of probability and chance processes
The normal distribution
Central Limit Theorem and sampling distributions
Statistical inference through theory and randomization
Bivariate correlation and causality
Simple and multiple linear regression and ANOVA
Bayesian perspective in statistical inference
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Syllabus & policies
Required materials
Textbook: OpenIntro StatisticsDiez, Barr, Cetinkaya-RundelCreateSpace, 1st Edition, 2011
Clicker : i>clicker 1Available at the Duke textbook store or on Amazon
Calculator : Four function calculator that can do square roots,no limitation on the type of calculator.
We will not be providing calculators and you willnot be allowed to borrow one from another studentduring an exam.
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Syllabus & policies
Webpage
http:// stat.duke.edu/ courses/ Spring12/ sta101.1
All announcements and assignments will be posted on this websiteunder the Schedules tab.
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Syllabus & policies
Office Hours
Professor: Mondays and Wednesdays 2 pm - 4 pm+ after class and by appointmentadditional OH announced weeks of projectsand exams
TAs: Sunday - Thursday 4pm - 9pm starting nextweek at the SECC (Old Chemistry 211A)
You are highly encouraged to stop by with any questions orcomments about the class, or just to say hi and introduceyourself.
Most homework assignments due on Thursday. Recommendattempting all homework problems by Wednesday to takeadvantage of Wednesday OH.
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Syllabus & policies
Grading
Clicker questions 7.5% Project 1 7.5%Homework & Labs 15% Project 2 10%Online quizzes 5% Midterms (2 × 15%) 30%
Final Exam 25%
Grades curved at the end of the course after overall averageshave been calculated.
Average of 90-100 guarantee A-.Average of 80-90 guarantee B-.Average of 70-80 guarantee C-.
The more evidence there is that the class has mastered thematerial, the more generous the curve will be.
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Syllabus & policies
Lectures
Lecture slides will be posted on the course webpage (underschedule) by 9am the day of the course.
In order to be able to keep up with the pace of the course andnot fall behind you must attend the lectures.
Introduction of concepts as well as hands on activities andexercises to complement them.
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Syllabus & policies
Clicker registration
http:// iclicker.com/ support/ registeryourclicker
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Syllabus & policies
Clicker grading
Two types of questions:Review questions:
One question per lecture on material covered in previous classesGet credit for answering correctly.Generally in the first 5 minutes of class.Objective: motivate you to keep up with the material.
New questions:On new material introduced in class that day.Credit for clicking in, regardless of whether you have the correctanswer.Objective: make you an active participant and help me pace theclass.
Up to two unexcused late arrivals or absences will not affect yourclicker grade.
If one person is simultaneously using two or more clickers, the allowners of the clickers will receive a 0 for an overall clicker grade.
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Syllabus & policies
Homework
Questions from the book and “on your own” part of the lab.
Due at the beginning of class on the due date.
Show all your work to receive credit.
Welcomed and encouraged to work with others, but turn in yourown work.
Lowest homework score will be dropped.
No make-ups.
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Syllabus & policies
Online quizzes
All quizzes at
http:// www.openintro.org
Designed to help you find any problem areas, and to help mejudge how to pace the course.
1 hour to complete each quiz (should take no more than halfhour), must take the quizzes by yourself.
Thursdays at 5 pm to Mondays at 8:30 am and will cover theprevious and the coming week’s material.
No make-ups.
Lowest quiz score will be dropped.
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Syllabus & policies
Online quizzes (cont.)
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Syllabus & policies
Online quizzes (cont.)
Course ID:STAT101S12
Access code:6VQ3T
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Syllabus & policies
Labs
http:// beta.rstudio.org
Email me your gmail address, if you haven’t yet done so, tocreate an RStudio account.
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Syllabus & policies
Projects
Project 1: individual, 5 page write-up
Project 2: in teams, presentation + 10 page write-up
Two projects will be selected to be entered to a nationalOpenIntro project competition. More details to follow...
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Syllabus & policies
Exams
Midterm 1: Thursday, February 23
Midterm 2: Tuesday, March 27
Final: Thursday, May 3, 9:00am - 12:00pm (Cumulative)
Exam dates cannot be changed. No make-up exams will begiven. If you cannot take the exams on these dates you shoulddrop this class.
You must bring a calculator to the exams (no cell phones, iPods,etc.) and you are also allowed to bring one sheet of notes(“cheat sheet”). This sheet must be no larger than 81
2” × 11” andmust be prepared by you (no photocopies). You may use bothsides of the sheet.
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Syllabus & policies
I will regularly send announcements by email, so make sure tocheck your email daily.
While email is the quickest way to reach me outside of class,note that it is much more efficient to answer most statisticalquestions in person.
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Syllabus & policies
Work load
You are expected to put in 4-6 hours of work outside of class. A few ofyou will do well with less time than this, and a few of you will needmore.
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Syllabus & policies
Other learning resources
Aside from the TAs and the professor’s office hours, you can alsomake use of the Academic Skill Center. For more information, seehttp:// web.duke.edu/ arc .
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Syllabus & policies
Policies
Late work policy:
late but during class: lose10% of pointsafter class on due date: lose20% of points
next day: lose 40% of points
later than next day: lose allpoints
There will not be make-ups for any of the online quizzes,homework, labs, or exams.
All regrade requests on homework assignments, labs, andexams must be discussed with the professor within one week ofreceiving your grade. There will be no grade changes after thefinal exam.
Academic integrity & Duke Community Standard
Excused absences
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Syllabus & policies
Tips for success
1 Read (or skim) the relevant sections before a new week begins,and then review again after the lectures.
2 Be an active participant during lectures and labs.3 Ask questions - during class or office hours, or by email. Ask me,
the TAs, and/or your classmates.4 Do the homework - start early and make sure you attempt and
understand all questions.5 Start your projects early and and allow adequate time for working
on them.6 Give yourself plenty of time time to prepare a good cheat sheet
for exams. This requires going through the material and takingthe time to review the concepts that you’re not comfortable with.
7 Do not procrastinate - don’t let a week go by with unansweredquestions as it will just make the following week’s material evenmore difficult to follow.
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Examples Arbuthnot
Birth counts and history
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Examples Arbuthnot
What is going on?
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Examples Arbuthnot
Data error?
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Examples Baby names
Baby names in the US
Each year the Social Security Administration collects andreleases data on the how many babies are given a certain name.
They released these data for years 1880 to 2010 for eachgender.
For privacy reasons they restrict the list of names to those with atleast 5 occurrences.
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Examples Baby names
2010
http:// www.ssa.gov/ oact/ babynames
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Examples Baby names
Jac...
http:// www.babynamewizard.com
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Examples Baby names
2010s least frequent
Zulie,F,5
Zuriya,F,5
Zuriyah,F,5
Zyda,F,5
Zyera,F,5
Zyia,F,5
Zyiana,F,5
Zyira,F,5
Zylia,F,5
Zylynn,F,5
Zyniya,F,5
Zyonnah,F,5
Zyriana,F,5
Zyrihanna,F,5
Ziven,M,5
Zmari,M,5
Zoren,M,5
Zuhaib,M,5
Zyeire,M,5
Zygmunt,M,5
Zykerion,M,5
Zylar,M,5
Zylin,M,5
Zymaire,M,5
Zyonne,M,5
Zyquarius,M,5
Zyran,M,5
Zzyzx,M,5
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Examples Geotagged data
Clicker question
Do you geotag your posts on social networking sites, like Facebook,Twitter, GooglePlus, etc.?
(a) yes
(b) no
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Examples Geotagged data
Map based on Flickr tags
http:// aaronstraupcope.com
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Examples Geotagged data
Map based on Flickr tags
Red: Tourists
Blue: Locals
Yellow: Either
http:// www.flickr.com/
photos/ walkingsf/
4671594023/ in/
set-72157624209158632/
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Examples Modeling and uncertainty
Primary Predictions
http:// fivethirtyeight.blogs.nytimes.com/
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Examples Modeling and uncertainty
Primary Predictions (cont.)
http:// fivethirtyeight.blogs.nytimes.com/
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Examples Modeling and uncertainty
Primary Predictions (cont.)
http:// fivethirtyeight.blogs.nytimes.com/
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Examples Modeling and uncertainty
Primary Predictions (cont.)
http:// fivethirtyeight.blogs.nytimes.com/
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Examples Modeling and uncertainty
Primary Predictions (cont.)
http:// fivethirtyeight.blogs.nytimes.com/
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Why study statistics
[...], the study also warnsthere is a significant shortageof qualified workers to analyzethese data sets adequately.According to the report, ashortfall of about 140,000 to190,000 individuals withanalytical expertise isprojected by 2018. The studyalso predicts a need for anadditional 1.5 millionmanagers and analysts bythat same date to fully engagethe true potential of thecurrently available data.
http:// jobs.aol.com/ articles/ 2011/ 08/ 10/
data-scientist-the-hottest-job-you-havent-heard-of
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Why study statistics
http:// www.dailymail.co.uk/ news/ article-2023514Statistics 101 (Mine Cetinkaya-Rundel) Lecture 0: Introduction January 12, 2012 39 / 40
Data collection
Data collection
Work in groups for a few minutes to come up with data you wouldlike to find out about Sta 101 students. Think of interestingquestions since we will analyze these data throughout thesemester.
I will email with instructions to fill out an anonymous onlinesurvey over the weekend.
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