Fall Semester 2003
Mon-Tue Dec 15-16
Date: Tue, 16 Dec 2003 09:38:11 -0500 (EST) From: Adrian German <email@example.com> To: A113 Fall 2003 Distr. List <firstname.lastname@example.org> Subject: A113 Final Exam Dear A113 Friends, Just a reminder that there is an exam today at 12:30 in TH A201. This is the final exam, open book, open notes, open resources. The final grades will be turned to the Registrar on Fri. Between now and then you can come and see me if you have any questions. The available times are listed here: http://burrowww.cs.indiana.edu:11400/cgi-bin/fall2003finalappts/schedule Go ahead and sign up for any time you want if you want to come and talk about your grades. You will receive an e-mail confirmation with the time you chose and the place of the appointment. Please let me know if you experience any problems with the script. ... Adrian
Fri-Sun Dec 12-14
I include some for your evaluation:
Thu Dec 11
Date: Thu, 11 Dec 2003 10:19:48 -0500 (EST) From: Adrian German <email@example.com> To: A113 Fall 2003 Distr. List <firstname.lastname@example.org> Subject: A113 Final Week Update Dear A113 Friends, The class is almost over. Today we have a final review for the exam next week and we will collect course and instructor evaluations. The second practical exam is tomorrow in lab. Sample topics were posted yesterday on the class web site. I will also post a set of sample final exam questions later today and we can discuss those in class. As with the previous exams the practical and the final are open notes and open book use whatever you want to use except: another person for the final and you're not supposed to bring your spreadsheet already completed to the practical exam on Friday. Also, drop boxes in OnCourse closed themselves up last night so I made a change such that they stay open until Dec 16. Let me know if you have any questions and all the best as you are approaching the finals week. I am sure you will do very well in all your finals in all your classes. ... Adrian
Wed Dec 10
Thu-Tue Dec 4-9
Wed Dec 3
Summary of Chapter 10: Analysis of Variance Analysis of variance (ANOVA) provides a test to determine whether to accept or reject the hypothesis that all of the group means are equal. (Think of the two groups in the salary discrimination problem at the end of Chapter 8. Think also of the problem at the end of Chapter 4: 23 on page 167 "if coockoo eggs differed in length between hosts that would lend some weight/credibility to that hypothesis". This problem appears as 22 on page 406). Assumptions for the means model (that we use for ANOVA) are (see p. 369) similar to those used for regression analysis. First example starts on page 369. We use Hotel.xls to investigate if hotel prices in New York are different from those in other cities. (The second example in this chapter is using Cola.xls while the two problems that you can choose from for Homework Six, from this chapter, use the Heart.xls and Eggs.xls spreadsheets respectively). Steps in the first example: 1. Make a copy of the file (p. 370). 2. Establish the two hypotheses (p. 371). 3. Plot the prices by category (pp. 371-373). Why? 4. Prepare for the ANalysis Of VAriance (using the Analysis ToolPak) by unstacking the prices based on the city variable (use StatPlus, p. 373). 5. Perform the analysis of variance (Anova: Single Factor, pp. 374-375). Pp. 376-377 try to explain the rationale of the method (skim it). The bottom line (p. 377, lower half) is that the MS column is important (why?) and that the F and P-value columns are the deciding factor in our analysis). The section ends showing how one can calculate the coefficient of determination from the values produced by ANOVA. 6. What's the conclusion of the analysis so far (p. 377, last but one paragraph)? The answer to this question determines the next step taken (pp. 378-379): create a matrix of paired differences. (Why?) Use StatPlus. 7. The problem now is adjusting the p-values for multiple comparisons. So a correction factor is used (which one?) and discussed (when should we use it?) So pp. 380-381 reach a conclusion late the section. 8. Knowledge from Chapter 4 is used to provide an additional perspective (pp. 381-382). Top of section (p. 381) explains the potential benefit of this approach (medians, outliers). Overall we are accumulating evidence. In final analysis what is the conclusion of your experiment? Some exercises revisit this problem. 9. Remember that we take an engineering, big-picture approach: how can we use the theories developed (and implemented in Excel). So we switch to performing the analysis of variance using regression modeling (pp. 382-283). The first step is to create indicator variables (use StatPlus). 10. The second is to fit the effects model to the hotel pricing data and we are done (p. 384-386). The rest of the chapter is not used in the lab assignment. However tomorrow in class we will cover the rest and start on the last two chapters in the book.
Mon-Tue Dec 1-2
Here's some help with Lab Assignment Six (Chapter 9) as well:
Here are some suggestions for Homework Six:
Personally I find at least one problem in each of the three chapters attractive.
Wed-Sun Nov 26-30
Tue Nov 25
Just for your information here are two lectures from last year:
Here also is an example midterm exam from last year.
Mon Nov 24
New QuizSite exercises have been posted.
Sat-Sun Nov 22-23
Practical exams acknowledged (grading forthcoming).
Fri Nov 21
Thu Nov 20
Wed Nov 19
Tue Nov 18
Mon Nov 17
Date: Mon, 17 Nov 2003 17:16:42 -0500 (EST) From: Adrian German <email@example.com> To: A113 Fall 2003 Distr. List <firstname.lastname@example.org> Subject: help session tonight/practical details Dear A113 Friends, If you check the practical one link on the class notes web page at http://www.cs.indiana.edu/classes/a113/fall2003/classNotes.html you will see that there will be 12 subjects for the practical exam on Friday. These are the actual exam problems, and each one of you will receive a random problem from the set listed there. There's a help session tonight (7:15pm in Lindley 102). Come if you need help with any of the listed problems. As a reminder the exam is open book and you can talk to anyone but only occasionally and without disturbing the class. You have to build the worksheet from scratch. Any needed data files will be provided by the AI who will make sure that you don't access your CFS or your e-mail account and/or the network scratch folder. When you are done you will turn in the problem to Oncourse and the AI will check that your submission was correct. The midterm questions won't be too many, and they will be based on a) the QuizSite exercises, and b) the book (big picture questions). I will try to provide answers to all (or at least the most significant of) the lab assignment questions by Tuesday night and post them on the website so you can go into the exam without any uncertainties. Grades should also be posted by then too. ... Adrian
Sat-Sun Nov 15-16
Here's the message of Sunday:
Date: Sun, 16 Nov 2003 12:55:56 -0500 (EST) From: Adrian German <email@example.com> To: A113 Fall 2003 Distr. List <firstname.lastname@example.org> Subject: A113 Practical One and Midterm Exams Dear A113 Friends, I posted some info on the exams: for the midterm expect questions like those in QuizSite and also big picture questions from the book (like: where/when/why would you use a pivot table? what's chi square test/statistic and when/why you might use it?) Just the basic idea. I will post more info for the midterm soon. For the practical you will be given one of the projects in the book (already explained in the book). So if you never read that part you can read it during the exam and complete the steps and the experiment. There are about 20 such projects in the book just be familiar with them. You can't bring the spreadsheet from home, but the exam is open book, so all you have to do is be able to use the book. I will refine the info posted already and make it even more precise. There will be a help session tomorrow at 7:15pm in Lindley 102. The Practical Exam won't be group work but you can talk to each other (not much, and not too loud) occasionally. It is important that those that work by themselves not be disturbed. The midterm exam is on Thu in class. The practical is on Friday, in labs. Both exams are open book. On the written exam you can't exchange information with anyone except the instructor. On the practical exam you can (occasionally) talk to your neighbours, if you need to. But just occasionally, and without disturbing the class at all. Let me know if you have any questions and/or concerns. There will be reviews in class on Tue and Wed for the two exams. Hope your weekend is coming along fine. ... Adrian
Fri Nov 14
Thu Nov 13
Wed Nov 12
What remains to be done now is
Information about the exams is forthcoming.
The message of Tuesday:
Date: Tue, 11 Nov 2003 16:23:41 -0500 (EST) From: Adrian German <email@example.com> To: A113 Fall 2003 Distr. List <firstname.lastname@example.org> Subject: a113 min paper (tue nov 11) Dear A113 Friends, I looked at the minute papers collected today. The probability distribution for the sum of two dice is a tent: two straight lines from (2, 1/36) to (7, 6/36) and from (7, 6/36) to (12, 1/36) where the first value is the independent variable (the outcome) and the second is the chance of that outcome. Perhaps you can try this in lab tomorrow. We'll look at it for sure on Thu in class. So the distribution is not normal! Don't assume every distribution will be normal or almost normal. That need not be the case. Here's a note from last year with a table that gives away the answer: http://www.cs.indiana.edu/classes/a113/fall2002/notes/Five.html * Also please take a look at problem 23/167. What does the solution posted have to say about part (c)? The answer is: nothing. What then are you going to do? First: definitely don't panic. That's the first step. Second, think instead. Third, carefully also look for sources of help. Fortunately the question is asked again (this time as question no. 22 on page 406) in the chapter about the analysis of variance. At that point your qualitative analysis from Ch. 4 (based on simple descriptive statistics) can be quantified a bit more, and so an answer is provided with the solution on page 406. * For the practical next week you need to be able to just use Excel and/or StatPlus to calculate and plot things: descriptive statistics, distributions, check for normality (in two ways, as we did in class today), and perform simple statistical inference. I might come to labs tomorrow, but I can't promise. I will post more information about the exams on the web site in a day or two (under class notes). (If the practical will test your basic knowledge of Excel/StatPlus the written midterm will test your basic understanding of your reading assignments. Hopefully the questions posted as lab assignments help with preparation for that.) ...Adrian
Tue Nov 11
Date: Mon, 10 Nov 2003 21:57:54 -0500 (EST) From: Adrian German <email@example.com> To: A113 Fall 2003 Distr. List <firstname.lastname@example.org> Subject: A113 Update (Week 3 Fall 2003) Dear A113 Friends, The web site for the class is now essentially complete: I have organized the remaining of this semester around a total of 8 lab assignments and 7 homework assignments (two of which are behind us already). All homework assignments will be addressed directly in class, during lectures. All lab assignments will be addressed directly in labs. You need to turn in a total of 5 homework assignments (choose 5 of the 7) the remaining 2 being your bonus, and 7 lab assignments (out of eight). The suggested due dates are listed on the What's Due page. The main focus is to go through the materials in the book and build a working understanding of the type of problems you are supposed to be able to solve. Solving any of the homework assignments will then be as simple as summarizing the corresponding lecture or set of lectures (which will be aimed at providing general solutions for the kinds of problems listed in the homework assignments) and doing a lab assignmnent will require that you peruse the book and work through the tutorials. I spoke to most of you in labs on Fri. At this point you should be clear on the fact that we work with Excel under Windows, that Excel works with cells, that are named and used for formulas, that contain absolute or relative names of cells and/or names of functions (that have parameters). For now we use Excel to analyze sequences of numbers (data), which we currently summarize using averages (a measure of central tendency) and standard deviations (a measure of dispersion). We also should have a good idea of what a distribution is and we plot them as histograms to further summarize (graphically) our sequences of numbers (data). There are discrete distributions and continuous distributions. A certain distribution (normal) is (a) ubiquitous and (b) very useful and uses two parameters in its formula (description): the mean (arithmetical average) and the standard deviation. This week we're working to show both (a) and (b) after which we move on to Chapter 7. The lectures will therefore be a journey through a collection of carefully chosen problems (your homework assignments) and the labs are meant to give you help (support) in covering the material in the book. If you come to lecture and labs and understand what is discussed there should be no problem getting a perfect score in this class. I'll have more info about the upcoming exams during the week. The exams will be open book (both) and will simply test that you have done your readings and understood them. There will be a help session next Mon in LH (Lindley Hall) 102 at 7:15pm for an hour---if you need it. See you tomorrow. Please let know if you have questions and/or any concerns. ... Adrian
Fri-Mon Nov 7-10
Remaining homework assignments also to be posted by Mon morning.
Wed-Thu Nov 5- 6
Second set of questions is posted under Lab Notes Four.
Tue Nov 4
Mon Nov 3
Date: Mon, 3 Nov 2003 14:31:56 -0500 (EST) From: Adrian German <email@example.com> To: A113 Fall 2003 Distr. List <firstname.lastname@example.org> Subject: A113 Week Two Dear A113 Friends, A113 starts in earnest this week. Everything that you have done for the first week of assignments will be taken into account only as bonus. That includes of course any work you may have turned in for last Friday's lab and any of the first two homework assignments (one was collected on Friday while the other one was demonstrated in class last Thursday and is due this week). Plan for this week: tomorrow in class I explain the coins experiment that you started last Friday (on conditional probability). Then on Wednesday in lab please make sure you examine the first thre chapters in the book. The lab notes will offer some guidance. Thursday we cover Chapters 4 and 5, so on Friday in lab a similar set of notes will try to guide you through the experiments that you need to have undertaken to be sure you understand the materials in the chapters as well. Following weeks' plans will be posted on the What's New page in advance, soon. Lab assignments will be weekly and in written form. The web site will have complete details (in lab notes) on what is due and when. I think the enrollment in this class has finally stabilized so I'd like to use this opportunity to actually welcome everyone to A113. Please let me know if you need any help or have questions/concerns. ... Adrian
Sat-Sun Nov 1- 2
Here are screen shots that show how the golden coin experiment was done:
Notice that the last picture is really big so we can see.
Also notice that for this problem to be really effective one needs to
that give different answers.
So here they are:
This way one of them must be incorrect (perhaps both?) and a carefully chosen experiment can tell which is incorrect and give a hint as to what the right answer might be.
Thu-Fri Oct 30-31
Wed Oct 29
Here's a copy of the message sent last night:
Date: Tue, 28 Oct 2003 19:30:29 -0500 (EST) From: Adrian German
To: A113 Fall 2003 Distr. List Subject: A113 Fall 2003 Greetings, You are receiveing this message because you are on the roster for A113 (or told me you would add this class so I added you on the list). This is the e-mail distribution list for A113 for the remaining of the semester so if you don't want to be on it for some reason, or if this message reached you in error please let me know. Labs start tomorrow. Please write to me if you don't know your section or where to report to. Michael's lab is in Lindley 023 at 9:30am. Nathan's lab is in Ballantine 308 at 11:15am. And Sriram's is in HPER 154 at 4pm. I have a list with each student's lab section so if you need the info that refers to you on that list please let me know. Finally, I remind you the address of the web site for this class http://www.cs.indiana.edu/classes/a113 We'll be using Oncourse for the Practical Exams and maybe for some Homework Assignments but the web site will be at the address announced above. Please check the What's New daily and What's Due frequently on this web site. There's nothing due tomorrow in lab. Try to go over the experiment at the end of Lecture Notes One. Lab Notes for the week will be posted tomorrow. We will base everything we do in this class on the text and the web notes. If you need any help or have any questions whatsoever please let me know. ... Adrian
Tue Oct 28