An Introduction to Statistics

STAB22, Fall 2011 

Ken Butler, Mahinda Samarakoon

     
Course outline
What Statistics and STAB22 is about

Intro to StatCrunch
Statistical tables
Old exams

Assessment
Got a question? Read the FAQ first.
Graphic syllabus
Suggested problems and solutions: 7th edition 6th edition
Data disk from text
Text and software
Where are my classes? Tutorial rooms and times can change without notice.
Contact us

 

Welcome to the home page for STAB22.

Mahinda Ken
Mahinda Samarakoon Ken Butler (and daughter)

Use the links to the left to navigate, or to get in touch with us.

  • Jan 6, 3:30pm: There was a mixup in getting the grades back from the test scoring people, but all is good now. I submitted the grades yesterday, after which they had to be approved by the department, and then go through the machinery at the Registrar's office to find their way onto ROSI. So the grades are on their way.

    A reminder that we are not allowed to discuss or negotiate grades. If you have any issues with the grade you have received, you need to take that up with the Registrar's office, not with us. You have rights which the Registrar's office can tell you about.

    There were three people who wrote their final exams at a different time because of conflicts. As I write, I do not know the marks of those exams. If you are one of those students, please ignore what appears on ROSI for the moment; I will make corrections once I have the marks.

  • Dec 15, 11:00am: Ken will be available in his office this afternoon (Thursday) from about 3:00, and can stay until about 5 (but may leave sooner if there is no-one there).
  • Dec 9, 2:00pm edited Dec 10 11:00am: Here are the TA office hours before the final:
    Srishta Chopra Friday, Dec 9, 11:00-13:30,
                  Monday, Dec 12, 13:00-14.30,
                  Wednesday, Dec 14, 14:00-15:30
    
    Kry Lui  Thursday (Dec 8th), 10:00 - 18:00
              Wednesday (Dec 14th), 12:00 - 16:30
    
    Jon Balon Wednesday the Dec 07,  15:00-17:00
    
    Andi Kerenxhi, Tuesday Dec 13, 14:00-18:00
    
    Hoi Suen Wong   Tuesday (Dec 13) 10:00 - 14:00
                    Wednesday (Dec 14) 10:00 - 12:00
    
    Christopher Chow Wednesday dec 7 12:00-15:00 and Monday Dec 12 11:00-13:00
    
    Kevin Yan  Dec 14, 17:30-19:00, 10:00-12:00 ,Dec 15, 13:00-14:30
    
    Zengxin Hong  Dec. 9, Friday 13:30-17:00
                  Dec. 12, Monday 14:30-17:00
                  Dec. 15, Thursday 9:00-13:00, 14:30-17:00
    
  • Nov 29, 11:30am: Ken's lecture notes from today are up: part 1 and part 2.
  • Nov 29, 9:30am: Stuff you don't need for the final exam:
    • Section 3.4, Ethics
    • Section 4.5, advanced probability rules
    • Section 6.4, Power of tests of significance
    • Section 7.3, More tests for distributions
    • Chapter 8 (inference for proportions) and beyond
  • Nov 25, 1:00pm: The final examination is on Fri Dec 16th at 9:00am in the Gym. It is a 3-hour examination covering the whole course. Information and regulations for the final exam are elsewhere on this website.
  • Nov 25, 12:30pm: Ken's lecture notes from today, and the extra reading that we didn't get to in class today. Tuesday's class, the last lecture, will be a kind of highlight reel of the t procedures in Sections 7.1 and 7.2. We're not doing: power of tests of significance (6.4), section 7.3, or any of chapter 8.
  • Nov 18, 12:00pm: Don't forget to complete your evaluation of this course, on the Intranet. This is your chance to have your say about what you liked or didn't like about the course, and how you think it could be improved.
  • Nov 16, 5:00pm: I forgot to mention that quiz 10, the last one, will cover random variables (sections 4.3 and 4.4) and the sampling distribution of the sample mean (section 5.1).
  • Nov 15, 1:00pm: the StatCrunch report illustrating Question 2 from lecture 17 is here.
  • Nov 15, 9:30am: the StatCrunch report illustrating Question 1 from Lecture 17 is here.
  • Nov 11, 12:30 pm: the notes from Ken's class today are here. Part of it refers to a StatCrunch report which is here.
  • Nov 9, 1:00pm: Quiz #9 will cover probability up to the addition and multiplication rules (and, therefore, independent and disjoint events also). If you're in Srishta's tutorial that got disrupted, you'll be a week behind on quizzes the rest of the way. There are 10 quizzes altogether; your worst quiz mark gets dropped. (As of this moment, there are six lectures to go.)
  • Nov 3, 7:30pm: As promised, the version of the exam with explanations as well as answers. (This is actually the White version, but the other versions had all the same questions, but rearranged a bit.)
  • Nov 2, 12:30 pm: Here are the versions of the exam, with answers: white, pink, green and blue.
  • Nov 2, 11:00 am: Midterm marks are up. The exam is out of 37. Median mark was 25 (67.5%), Q1 was 20 (54%), Q3 was 29 (78%).

    This exam was a little more difficult than usual, so we have decided to give everyone a bonus of 2 points (out of 37). The link shows the actual numbers of questions correct (you can count them), so the 2-point bonus will be added on to what you see there. For example, if you scored 27 out of 37, the midterm contribution to your overall grade will be 29/37=78%. As a rough guide to letter grades: above Q3 is A, between median and Q3 is B, between Q1 and median is C, below Q1 is D or F. That is to say, if you perform about the same relative to the rest of the class on the final exam, that is the kind of grade to expect. But you still have to produce that performance!

    If you see any problem with your Scantron being improperly read, let me know (e-mail) with your name and student number, but I won't be able to do anything about it until I see the original Scantrons (Friday or later).

    Coming later (up now) are "annotated answers" (with my comments) to one of the versions.

  • Nov 2, 11:00 am: Quiz #8 will cover the rest of Chapter 3: that is, sampling (3.2) and "toward statistical inference" (3.3).
  • Oct 25, 12:00pm: yes, there is a quiz #7. It will cover: the question of causation (section 2.6), intro to collecting data (the start of chapter 3) and experimental designs (section 3.1). There is nothing from Section 3.2 on quiz #7, but there *is* stuff from there on the midterm exam, so make you read that section of the textbook before the exam.
  • Oct 25, 11:00am: Apologies from Ken to those in the back who couldn't hear me very well today.
  • Oct 25, 8:30am: Here's which room to go to for the midterm exam:
    Last name begins withGo to room
    A-IAA 112
    J-WAC 223
    X-ZH 214
  • Oct 24, 12:30pm: the pre-exam help schedule is updated, as shown in the table in October 20th's second entry.
  • Oct 24, 12:30pm: FSG update: Reza has put handout 5 and handout 6 online. (You may, or may not, need to log in to the Portal to see them.)
  • Oct 21, 8:30 am: FSG update - the time and location have changed, as follows:
    Day        Time            Place
    Monday     15:00-16:00     Portable 04, room 101
    Friday     11:00-12:00     Portable 04, room 101
      
  • Oct 20, 10:30 am: the midterm covers everything up to the end of section 3.2 in the text (sample surveys). We're aiming to have the lecture on Oct 28 be a question-and-answer session, so think about what questions you'd like to ask.
  • Oct 20, 12:00pm updated 6:30pm, updated again Mon Oct 24 12:30: Extra help before the midterm is as below, in IC 404 unless stated:
    TimeFri Oct 21Mon Oct 24Tue Oct 25Wed Oct 26Thu Oct 27Fri Oct 28
    9:00-10:00 ZengxinSrishta Srishta, Jon 
    10:00-11:00SrishtaZengxinHoi Suen Jon Srishta
    11:00-11:30Srishta Christopher    
    11:30-12:00  Christopher (IC 404), Ken (IC471)    
    12:00-1:00Christopher Hoi Suen (IC404), Ken (IC471)  Jon, Christopher 
    1:00-2:00Jon, Christopher Ken (IC471)Kevin   
    2:00-3:00Jon  Kevin   
    3:00-4:30    Kevin  
    4:30-5:00 Andi   Kevin 
    5:00-6:00 Jon, Andi     
    6:00-6:30 AndiAndi    
    6:30-8:00 Hoi SuenAndi    
  • Oct 18, 1:30pm: quiz #6 will cover R-squared, residuals and contingency tables (ie. sections 2.4 and 2.5 of the text). Yes, I'm aware that some people haven't written quiz #5 yet! Just so that you know when you come to it.
  • Oct 14, 9:30am: Reminder: the midterm is Friday October 28, 3:00-5:00pm, in AC 223, AA 112 and H 214.
  • Oct 12, 9:30am: Tutorial 15 has moved from MW 223 to PO 101, effective immediately. (PO 101 is one of the portables on the former games field next to the Science wing.)
  • Oct 12, 9:00am: I just added a section to the FAQ about exams. See item #6.
  • Oct 12, 8:30am: quiz #5 will cover scatterplots, correlation and regression basics (ie. sections 2.1, 2.2 and 2.3 of the text). Those folks with a Monday tutorial will do quiz #4 next week.
  • Oct 7, 11:30am: in case it's not clear, there are no tutorials on Monday. Those of you in Monday tutorials will be a quiz behind everyone else the rest of the way. The last quiz will be on Mon Nov 28, and there is an extra tutorial (to make up for the one missed) on Thu Dec 1. This is for tutorials 1, 3, 4 and 16 only. The rest of you will proceed as usual, with the last quiz in the week of Nov 17-Nov 23 and one more tutorial after that. The yellow and green stripey schedule at the bottom (waaay down) explains everything.
  • Oct 4, 2:30pm: Quiz #4 will feature the normal distribution: the 68-95-99.7 rule, using Table A to get proportions from values and values from proportions, and the normal quantile plot. (Note: the normal quantile plots on the quizzes come from different software. The principal effect of this is that sometimes the data and the "normal quantiles" are on the opposite axes to what we are used to.)
  • Oct 4, 2:30pm: thanks to a student who helped me figure out that there was something up with the textbook data sets link for the 6th edition. This is now fixed.
  • Sep 30, 12:00pm: The midterm date is apparently confirmed: it is Friday October 28, 3:00-5:00pm. (The actual exam will be 1 hour 45 minutes long to ensure the rooms are ready for the exams after us.) The exam is in AA112, AC223 and H214. We'll tell you later which room you need to go to.
  • Sep 28, 1:00pm: I've uploaded the data disks from the text (6th and 7th editions), in case you are having trouble accessing it. To get a particular data set, navigate to it (using the link to the left), then Open StatCrunch, select Load from Web Address, and copy and paste the URL of your data set into the box.
  • Sep 28, 12:30pm: The midterm date is not confirmed yet; I will put a note here once it is official (and announce it in class). Expect it to be near the end of October.
  • Sep 28, 11:00am: Quiz #3 will cover: boxplots, assessing outliers using the rule based on the IQR, changing the unit of measurement (linear transformations) (at the end of section 1.2), using Table A to obtain proportions from z-values.
  • Sep 23, 1:30pm: The extra notes from Ken's lecture are here.
  • Sep 22, 3:30pm: The Facilitated Study Groups will be conducted by Reza Nabavizadeh. They will meet twice a week, as below:
    DayTimePlace
    Tuesday13:00-14:00AC 219
    Friday11:00-12:00Portable 04, room 101
  • Sep 20, 6:30pm: Quiz 2 covers stemplots, histograms, centre, spread and shape (especially shape), mean and median, when you might use which, and how you might figure out the median from a histogram or stemplot. (Mahinda's section hasn't done boxplots yet, so they will probably appear on the next quiz.) This is lecture 3 and 4, basically.
  • Sep 20, 8:30am: I learned how to do a report in StatCrunch. For Ken's students, it's a rehash of part of Lecture 3.
  • Sep 18, 3:00pm: your quiz marks will appear on the Intranet. (If you already wrote your quiz, your mark might be there already.)
  • Sep 18, 3:00pm: somebody left a notebook in Srishta's tutorial. If it is yours, see Srishta or drop me (Ken) an e-mail.
  • Sep 17, 9:30pm: You should find in your e-mailbox a message about Facilitated Study Groups. These are collaborative weekly structured study groups for our course. They are entirely optional. The first stage is to find good times for everyone who wishes to participate. For that, you'll need to access the course Blackboard page and complete the survey there. (There is nothing else on the course Blackboard page, since I'm not using Blackboard.)
  • Sep 14, 12:00pm: I have edited the textbook page to express my opinions on using the 6th edition vs. the 7th of the textbook. In summary: if the 6th edition is what you have, that'll be OK.
  • Sep 13, 12:00pm: Quiz #1 is coming up. The quizzes will consist of two short-answer questions worth 5 points each, and will be marked by your TA. Quiz #1 will cover types of variable (categorical, quantitative), bar charts and pie charts. This is true whether your quiz is on Thursday this week or Wednesday of next week. The folks late in the tutorial week will get extra time to study, or (depending on your point of view) more time to forget what they learned.
  • Sep 9, 12:00pm: A Powerpoint giving an intro to StatCrunch is over on the left, below the links to my lecture notes.
  • Sep 9, 11:30am: Ken's lecture notes have a "to read for next time" slide on the end of each lecture, which I forgot to get to today. Thus, if you're in Ken's section, take a look at slide #19, and look through the appropriate bits of the textbook before Tuesday. That way, we can get down to business next time.
  • Sep 6, 1:00pm: I know it's very confusing having a semester start on a Thursday, so I thought I would make a table (below) showing what is happening on which day. There is an additional complication that Mon Oct 10 is Thanksgiving Day, on which there are no classes, and the last Thursday of the semester is a "makeup Monday" for people who would have had a tutorial on Oct 10.

    Calendar for STAB22, Fall 2011

    Mon Tue Wed Thu Fri
    Sep 5 Sep 6 Sep 7 Sep 8 Sep 9
    LEC01,LEC02
    lecture #1
    Sep 12 Sep 13
    LEC01,LEC02
    lecture #2
    Sep 14 Sep 15
    TUT11,12,13
    quiz #1
    Sep 16
    LEC01,LEC02
    lecture #3
    TUT06,14,15
    quiz #1
    Sep 19
    TUT01,03,04,16
    quiz #1
    Sep 20
    LEC01,LEC02
    lecture #4
    TUT05,07
    quiz #1
    Sep 21
    TUT08
    quiz #1
    Sep 22
    TUT11,12,13
    quiz #2
    Sep 23
    LEC01,LEC02
    lecture #5
    TUT06,14,15
    quiz #2
    Sep 26
    TUT01,03,04,16
    quiz #2
    Sep 27
    LEC01,LEC02
    lecture #6
    TUT05,07
    quiz #2
    Sep 28
    TUT08
    quiz #2
    Sep 29
    TUT11,12,13
    quiz #3
    Sep 30
    LEC01,LEC02
    lecture #7
    TUT06,14,15
    quiz #3
    Oct 3
    TUT01,03,04,16
    quiz #3
    Oct 4
    LEC01,LEC02
    lecture #8
    TUT05,07
    quiz #3
    Oct 5
    TUT08
    quiz #3
    Oct 6
    TUT11,12,13
    quiz #4
    Oct 7
    LEC01,LEC02
    lecture #9
    TUT06,14,15
    quiz #4
    Oct 10
    no classes
    Oct 11
    LEC01,LEC02
    lecture #10
    TUT05,07
    quiz #4
    Oct 12
    TUT08
    quiz #4
    Oct 13
    TUT11,12,13
    quiz #5
    Oct 14
    LEC01,LEC02
    lecture #11
    TUT06,14,15
    quiz #5
    Oct 17
    TUT01,03,04,16
    quiz #4
    Oct 18
    LEC01,LEC02
    lecture #12
    TUT05,07
    quiz #5
    Oct 19
    TUT08
    quiz #5
    Oct 20
    TUT11,12,13
    quiz #6
    Oct 21
    LEC01,LEC02
    lecture #13
    TUT06,14,15
    quiz #6
    Oct 24
    TUT01,03,04,16
    quiz #5
    Oct 25
    LEC01,LEC02
    lecture #14
    TUT05,07
    quiz #6
    Oct 26
    TUT08
    quiz #6
    Oct 27
    TUT11,12,13
    quiz #7
    Oct 28
    Midterm
    LEC01,LEC02
    lecture #15
    TUT06,14,15
    quiz #7
    Oct 31
    TUT01,03,04,16
    quiz #6
    Nov 1
    LEC01,LEC02
    lecture #16
    TUT05,07
    quiz #7
    Nov 2
    TUT08
    quiz #7
    Nov 3
    TUT11,12,13
    quiz #8
    Nov 4
    LEC01,LEC02
    lecture #17
    TUT06,14,15
    quiz #8
    Nov 7
    TUT01,03,04,16
    quiz #7
    Nov 8
    LEC01,LEC02
    lecture #18
    TUT05,07
    quiz #8
    Nov 9
    TUT08
    quiz #8
    Nov 10
    TUT11,12,13
    quiz #9
    Nov 11
    LEC01,LEC02
    lecture #19
    TUT06,14,15
    quiz #9
    Nov 14
    TUT01,03,04,16
    quiz #8
    Nov 15
    LEC01,LEC02
    lecture #20
    TUT05,07
    quiz #9
    Nov 16
    TUT08
    quiz #9
    Nov 17
    TUT11,12,13
    quiz #10
    Nov 18
    LEC01,LEC02
    lecture #21
    TUT06,14,15
    quiz #10
    Nov 21
    TUT01,03,04,16
    quiz #9
    Nov 22
    LEC01,LEC02
    lecture #22
    TUT05,07
    quiz #10
    Nov 23
    TUT08
    quiz #10
    Nov 24
    TUT11,12,13
    no quiz
    Nov 25
    LEC01,LEC02
    lecture #23
    TUT06,14,15
    no quiz
    Nov 28
    TUT01,03,04,16
    quiz #10
    Nov 29
    LEC01,LEC02
    lecture #24
    TUT05,07
    no quiz
    Nov 30
    TUT08
    no quiz
    Dec 1

    TUT01,03,04,16
    no quiz
    Dec 2
    end of classes
     
     
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