This course alone will not be enough to prepare you to teach AP Statistics. From an MET draft document: "it is clear that extensive additional preparation in statistics is required to teach AP Statistics. Several graduate courses in statistics are desirable (chosen in individual consultation with faculty in a graduate statistics program). The minimum preparation would be a good lower-level introductory statistics course, based on the sort of textbooks mentioned above, followed by either a second undergraduate statistics course or a graduate statistics course designed for teachers (see the MET Professional Development website for details about such a course)." http://cbmsweb.org/MET_Document/index.htm
MATH 419W - Introduction to Stochastic Mathematical Modeling (Gen Ed Area I, W--writing intensive) ECON 415 - Introduction to Econometrics STAT 370 - Probability (prerequisite is Calc 3) STAT 460/576 Applied Survey Sampling STAT 461/575 Linear Regression Analysis STAT 462/572 Design and Analysis of Experiments STAT 468 - Introduction to Biostatistics STAT 469 - Introduction to Categorical Data Analysis STAT 474W/574 - Applied Statistics (Gen Ed Area I, W) STAT 571 Mathematical Statistics I: Probability Theory STAT 573 Statistical Data Analysis STAT 577 Applied Multivariate Statistics STAT 578 Nonparametric Statistics.
Tue/Thu 11:00-12:15 Stat 360-0, PH 405, CRN 26346
|Stat 3||Prof. Andrew Ross; TR 11:00-12:15 PH 4||CRN 26346|
|Cla||Date 2017||day||unit||Topic||Required Additional Reading||HW Assigned||HW Due||Bonus Tech Material after class|
|1||1/5||Thu||1||Intro; randomization example; car-insurance advertising; population vs sample, types of data||m360-ch01-dat||Ch 1 preview||* = deviation from usual 7-day delay||text-to-columns|
|2||1/10||Tue||1;2||Discrete vs Continuous; PivotTables, Bar charts, Dotplots; Ch 2 Bias||Ch 1||Pivot Tables|
|3||1/12||Thu||2||Random vs Stratified Samples, etc; Random Rectangles activity||m360-ch02.2-2.||Ch 2a; 2b||Ch 1*||left/mid/right and =DATE|
|4||1/17||Tue||3||Graphical Methods for Describing Data||Ch 3||Ch 2a*||Kernel Density Estimates (KDEs)|
|5||1/19||Thu||4||Center, Variability, Boxplots, Empirical Rule, z-scores, Percentiles & Plots||m360-ch04-not||Ch 4a and 4b||Ch 2b||Marked Scatterplots|
|6||1/24||Tue||5||Correlation; Regression||Ch 5a||Ch 3||plot the pctile curve; dotplot-histogram-crf|
|7||1/26||Thu||5||Assessing fit; Nonlinear Relationships and Transformations||5b preview||Ch 4a and 4b||vlookup|
|8||1/31||Tue||5||5 wrapup||Ch 5b||Ch 5a||Solver for nonlinear regression|
|9||2/2||Thu||6||Definition and Properties of Prob; Conditional Probability; independence, PIE, Bayes, Prob via Simulation||m360-ch06a-powerpoint,
|Ch 6||ambulance travel distance simulation|
|10||2/7||Tue||7||Random Variables; Discrete and Continuous Distributions; Mean and StdDev; linear functions and sums||m360-ch07a-n||Ch 7a||Ch 5b||sumproduct|
|11||2/9||Thu||7||Binomial, Geometric; Normal; Checking and Transformations for Normality; Binom~Normal; QQ||m360-ch07b-n||Ch 7b||Ch 6||dotplot-histogram-crf-qq|
|12||2/14||Tue||8||Statistics and Sampling Variability; Sampling Distribution of a Mean||8 preview||Ch 7a||What-If Data Tables, 1-dim|
|13||2/16||Thu||8||Central Limit Theorem; Sampling Distribution of a Proportion||Ch 8||Ch 7b||What-If Data Tables, 2-dim|
|14||2/28||Tue||9||Point Estimation; Confidence Interval for a Proportion||Ch 9a||Ch 8||conditional formatting|
|15||3/2||Thu||9||Confidence Interval for a Mean (incl. t-distrib)||Ch 9b||sparklines|
|17||3/9||Thu||10||Hypotheses and Test Procedures; Errors in Hypothesis Testing; Proportion||m360-ch10a-p||Ch 10a||Ch 9a||parallel axis plots|
|18||3/14||Tue||10||Hypothesis Tests for Population Mean; Power and Probability of Type II error||Ch 10b; midterm corrections||Ch 9b||countif, sumif, averageif|
|19||3/16||Thu||11||2-sample t-test for means (indep); 2-sample t-test for means (paired); skipping 2-proportions||example Propo||Ch 11||Ch 10a||generating random numbers|
|20||3/21||Tue||12||Categorical Association part a||handout||Ch 12a; Proposal||Ch 10b||Pivot Tables|
|21||3/23||Thu||12||Categorical Association part b||handout||Ch 12b||Ch 11; midterm corrections|
|22||3/28||Tue||12||Categorical Association part c||handout||Ch 12c||Ch 12a; Proposal||Pasting into Word/ ppt: live or dead copies?|
|23||3/30||Thu||13||Linear Regression and Correlation: Inferential Methods||m360-ch13-not||Ch 13||Ch 12b||Excel Regression Tool|
|24||4/4||Tue||calc||Multiple Testing; Regression to the Mean; Covariance; calculus-based methods||m360-ch99-cal||Ch 12c||LiveRegression|
|25||4/6||Thu||calc||Calculus-based methods; Poisson Processes||ch99calc||Ch 13||What-If Goal Seek|
|26||4/11||Tue||calc||Calc, Poisson; presentation tips||example Prese||ch999datafest||Final Report||SQL|
|4/20||Thu||Final exam 11:00 a.m. - 12:30 p.m. (usual class time)||ch999datafest|
Class meetings will be mostly interactive lectures, with some time to work on problems in class, but hardly ever time to go over problems from the homework; that is best done in office hours or by email before the HW is due.I expect that you will work on Stat 360 for 6 to 10 hours per week outside of class.
Mon/Wed 1:30- 2:00 Office Hours 2:00- 2:50 Math 121, PH 321 (CRN 20933) 3:00- 3:30 Office Hours Tue/Thu 10:00-11:00 Office Hours 11:00-12:15 Stat 360-0, PH 405 12:15- 1:00 Office Hours, lunch 1:15- 1:45 faculty research meeting (Thursdays only) 1:30- 2:00 Office Hours 2:00- 2:50 Math 121, PH 321 (CRN 20933) 3:00- 3:30 Office Hours 5:00- 5:30 Office Hours 5:30- 6:45 Math 419W/519, PH 324 (CRN 26352/26362) Fri: no schedule--I'm often on campus, though. I have various meetings to go to. Send e-mail to make an appointment.
I am also happy to make appointments if you cannot come to the general office hours. Please send me e-mail to arrange an appointment. However, I am not available when I am teaching other classes (see above).
The Mathematics Student Services Center (or "Math Lab") is also here to help you, in Pray-Harrold 411 Their hours are posted here. Please give them a call at 734-487-0983 or just drop by.Another resource on campus is the Holman Success Center, formerly the Holman Learning Center.
Some assignments in this course will be in the form of papers, which I want to be well written. Please consult with The Writing Center for help in tuning up your writing.
I am a very applied mathematician. Applied, applied, applied. Not pure. Impure. I try to focus on real-world problems, rather than artificial drill problems (though I do recognize the need for some drill). My classes spend much more time on formulating problems (going from the real world to math notation and back) than on proving theorems. If you want the theoretical basis for anything we are discussing, please ask!
My general math interests are in Industrial Engineering and Operations Research (IEOR). In particular, I do research in applied probability and queueing theory, the mathematics of predicting how long it takes to wait in line for service. You can learn more about this in Math 319 and 419W when I teach them. I also enjoy teaching about cost-minimizing/profit-maximizing methods called Non-Linear Programming (NLP) in Math 560, Optimization Theory.
Textbook: Introduction to Statistics & Data Analysis, 4th edition, by Peck, Olsen, and Devore amazon link. We do actually use the textbook, fairly heavily in fact. For Fall 2016 and Winter 2017 we will still use the 4th edition; do not buy the 5th edition even if you see it.
This textbook is not calculus-based, but our course is a calculus-based course. So, we will use a calculus-based supplement to the textbook that I have written.
A lot of our work will be done on computers, usually in Excel or a similar spreadsheet. If you had been waiting for a good reason to buy a laptop, this is it. Spreadsheets other than Excel (such as OpenOffice/LibreOffice, Google Docs, etc.) work reasonably well for most things in the class, but some things really don't work well without name-brand Excel. Fortunately, it's available free to EMU students (as of Fall 2016). Email me to ask for details.
I will post data files, homework assignment files, etc. on my home page and sometimes only in Canvas
We will use on-line homework submission and gradebook via EMU Canvas to keep track of grades. You are expected to keep an eye on your scores using the system, and get extra help if your scores indicate the need.
Regular attendance is strongly recommended. There will be material presented in class that is not in the textbook, yet will be very useful. Similarly, there are things in the textbook that are might not be covered in class, but are still very useful. If you must miss a class, arrange to get a copy of the notes from someone, and arrange for someone to ask your questions for you. If you are stuck on occasion without your usual child care, you may bring your child to class, and need not even get advanced permission (this is my personal policy--I don't know if EMU has a policy). Please be considerate to your classmates if your child becomes disruptive.
My lectures and discussions mostly use the document camera, along with demonstrations in Excel and other mathematical software. I do not usually have PowerPoint-like presentations, and thus cannot hand out copies of slides.
Homework will be assigned about twice per week, usually 2 assignments per chapter. All homework should be typed and submitted via the Canvas dropbox. The policy is: if it isn't in Canvas, it doesn't exist for grading purposes. Any assignments emailed to me will be treated as drafts, and I will try to respond to them with helpful advice.
I am open to doing contract honors for this class for students in the Honors College. Please contact me if you are interested in doing so.
There will be a midterm exam and a final exam. Quizzes might also occur, announced or not, during the semester.
You will do a project where you create a question, decide how to study it, design a data collection method, collect data, and analyze it. You will write a project proposal so I can be sure you are on the right track, and a final report, which is usually about 5 to 10 pages long. The grade breakdown for the project is roughly:
On average, students should spend a total of about 30 minutes in office hours discussing the project. Plan for this in advance! Teams of 2 are allowed/encouraged, but no team bigger than 2 is allowed.
There is no systematic grade-dropping method like "lowest 2 scores will be dropped". In the unfortunate event of a need, the appropriate grade or grades might (at the instructor's discretion) be dropped entirely, rather than giving a make-up. You are highly encouraged to still complete the relevant assignments that were dropped, and consult with me during office hours to ensure you know the material. If a student falls hopelessly behind in the homeworks (aside from the project), they may request a grand make-up assignment (which might be done at home or in the math testing room, at the instructor's discretion). This request might or might not be granted, at the instructor's discretion.Your final score will be computed as follows:
0 to <48 F 48 to <52 D- 52 to <56 D 56 to <60 D+ 60 to <64 C- 64 to <68 C 68 to <72 C+ 72 to <76 B- 76 to <80 B 80 to <84 B+ 84 to <88 A- 88 to <100 Athough if absolutely necessary, a curve might be applied.
The University Writing Center (115 Halle Library; 487-0694) offers one-to-one writing consulting for both undergraduate and graduate students. Students can make appointments or drop in between the hours of 10 a.m. and 6 p.m. Mondays through Thursdays and from 11 a.m. to 4 p.m. on Fridays. The UWC opens for the Winter 2017 semester on Monday, January 9, and will close on Thursday, April 20. Students are encouraged to come to the UWC at any stage of the writing process.
The UWC also has several satellite locations across campus (in Owen, Sill, Marshall, Porter, Pray-Harrold, and Mark Jefferson). These satellites provide drop-in writing support to students in various colleges and programs. The Pray-Harrold UWC satellite (rm. 211) is open Mondays through Thursdays from 11 a.m. to 4 p.m. The locations and hours for the other satellites can be found on the UWC web site: http://www.emich.edu/uwc.
UWC writing consultants also work in the Academic Projects Center (116 Halle Library), which offers drop-in consulting for students on writing, research, and technology-related issues. The APC is open 10 a.m. to 5 p.m. Mondays through Thursdays. Additional information about the APC can be found at http://www.emich.edu/apc.
Students seeking writing support at any location of the University Writing Center should bring a draft of their writing (along with any relevant instructions or rubrics) to work on during the consultation.