STA291 – 229 Statistical Methods: Summer II 2012

Instructor: Melissa Q. Pittard, Ph.D.

MDS 323 / Secondary Instructor (MyLab):
Pamela Lancaster

Lab Instructor:
Wenli Zhou

Text:

Sharpe, DeVeaux, and Velleman, Business Statistics, 2nd edition*), 2011 – bundled with MyLab (see next section). *There is a newer edition—don’t get it! It will be more expensive and not the one intended for this course! Also realize that no physical copy of the textbook is required, as explained in the intro video for the course.

Additional required materials:

·  Calculator (“2-variable statistics” on the package)

·  MyLab (@ http://pearsonmylabandmastering.com/ For course homework, bundled with the physical copy of the textbook if purchased with any of the bookstores officially affiliated with the University of Kentucky—you’ll have to explicitly check on this if not) with course ID: gebert85663 You need this course code as well as an access code, purchased separately.

Course goals:

A student’s successful completion of this course entails: mastering basic statistical concepts, including those associated with its language, the execution of elementary statistical procedures, and correct interpretation of results. This mastery will be practiced and demonstrated using real-world exercises with the assistance of computer software such as Excel which is generally available and applicable.

Technology Requirements:

Minimum Technology Requirements: In order to participate in this course, you will need access to a computer with the minimum hardware, software and internet configuration described at this site: http://www.uky.edu/Blackboard/computer.php. In addition, you will need:

·  Reliable access to a computer with video camera and microphone capabilities.

·  The ability to make and successfully share videos of yourself.

·  The ability to view pdf files (Adobe Reader is a powerful, free download)

·  The ability to view the videos we have posted. These will be posted on Bb with a built-in player in the embedded code, so everyone should have efficient and error-free access.

·  The ability to view videos that we have not posted but rather linked from other sites. This is typically not a problem since you probably already are adept at viewing web-based videos.

·  An internet service provider (ISP) giving fast enough access to the University of Kentucky Blackboard web site (elearning.uky.edu) so that you may view the videos and other materials that may be posted, and can participate in any required virtual group sessions. Student must have access to a computer with broadband internet connection (i.e., Cable Modem, DSL, or fast WiFi such as on campus).

·  The use of Internet Explorer is NOT recommended for use with Blackboard. Firefox is the recommended Internet browser for the course. Firefox is free. Google on the name and make sure you download from the actual Firefox site and not a third party site.

How will we interact with each other?

·  The GGDB: This is our General Group Discussion Board (GGDB). It is open to all students in our class. We encourage you to use that GGDB to post general questions! Your Instructional Team will check these Boards several times every day and reply in a timely manner. Other students are strongly encouraged to reply as well. The more help, the better we all do in the course. Participating in this Board is not graded. However, it is a good way to get help from the Team and from your peers. I do want to lay down some ground rules for the board. It is not a place to post complaints, nor a place to post comments about the exams or extensive homework solutions. Failure to comply will result in you being removed from the board.

·  Monitoring: Please do not expect the GGDB to be monitored 24/7. That is not reasonable. While we may often have someone monitoring rather late into the evening and very early in the morning, don’t expect that. It is your responsibility to ask the necessary questions on a schedule that allows us reasonable time to answer prior to an assignment being due.

·  Email: Certainly email is OK for questions that you don’t want posted, but lots of emails from a large class can be hard to keep up with. If you must use email, use the following guidelines:

o  All emails MUST have the subject “STA 291:LastName_FirstName” and should be emailed to both members of your Instructional Team (meaning Dr. Pittard and Wenliunless a special exception is warranted. This will help us serve you better and greatly reduce the risk of emails getting lost. If you don’t go by these rules the Team may just ignore your email.

o  The Team will check e-mail several times a day and, unless there are some special circumstances afoot, will follow the schedule below. The Instructional Team is not required to continue or initiate any email conversations after 5:00 p.m. or before 9:00 a.m.

§  E-mails received before 5 pm on a weekday will be responded to that day if there is time.

§  E-mails received after 5 pm may not be responded to until the following morning.

§  E-mails received after 5 pm on Friday will be responded to within 24 hours.

·  Other: For face-to-face, telephone, Skype, or Adobe Connect appointments, please contact us to set up a meeting time.

How much work should I expect to be doing?

·  All course materials are on-line and it is your responsibility to access material in a timely manner. The Daily Message will set the tone for the day and may announce a longer-term Beyond the Classroom project. In general you should expect to spend a MINIMUM of 3-4 hours per day either on-line interacting with the course materials and/or communicating with the instructional team.

Course grading:

Your course grade will be calculated based on the following components (each of the components explained in full detail on the course’s Blackboard web page; due when announced or no credit given):

Homework / 16%
Instructor/TA guided Exercises (“Labs”) / 16%
Pre-Material Quiz (due no later than 6/28/12) / 8%
Tests (2 each @ 30%) / 60%

Grading scale: 90 – 100, A; 80 – < 90, B; < 70 – < 80, C; 60 – < 70, D; <60, E.

Homework is viewed and submitted in the MyStatLab online course software, as is the pre-material quiz.

Academic Integrity Policy

Students are not forbidden (in fact, are encouraged) from collaboration on any exercises other than the quiz or examinations.

The University of Kentucky’s Academic offense policy may be found here:

http://www.uky.edu/Ombud/acadoffenses/new_policy.pdf

Student Services Available

·  Contact information for TASC: http://www.uky.edu/TASC ; 859.257.8272

·  Contact information for Information Technology Customer Service Center: http://www.uky.edu/UKIT ; 859.257.1300

o  Summer Hours (extended!):

·  Sunday / ·  / ·  1:00 PM through 10:00 PM
·  M-R / ·  / ·  7:00 AM through Midnight
·  Friday / ·  / ·  7:00 AM through 6:00 PM
·  Saturday / ·  / ·  Closed

·  If you have a documented disability that requires academic accomodations in this course, please make your request to the University Disability Resource Center. The Center will require current disability documentation. When accomodations are approved, the Center will provide me with a Letter of Accomodation which details the recommended accomodations. Contact the Disability Resource Center, Jake Karnes, Director at 859.257.2754 or .

·  Contact information for Distance Learning Library Services: http://www.uky.edu/Libraries/DLLS

Lecture Schedule (tentative):

Lecture / HW # / Contents / Book Sections
(if any)
1 / Pre-HW1 (due 6/26*) / Introduction, get MyLab (course ID: gebert13726) access! / 1.1, 2.1, & 2.2
2 / Getting the Data / Chapter 3
3 / Summarizing Categorical Data / Chapter 4
4 / Probability / 7.1 & 7.4
5 / Pre-HW2 (due 6/28) / More Probability / 7.5 & 7.6
6 / Summarizing Quantitative Data / 5.1 & 5.2
7 / Measures of Center / 5.3
8 / Measures of Spread / 5.4 – 5.6
Online Pre-Material Quiz: Due by 6/28/12
9 / HW1 (due 6/28) / Interpretations of the Standard Deviation / 5.8, 5.9, 9.1
10 / Longitudinal Studies: Time for Two Variables / 5.10 & 6.1 – 6.4
11 / Linear Regression / 6.5 – 6.10
12 / HW2 (due 7/3) / Discrete Random Variables / 8.1 & 8.2
13 / Binomial Probability Distribution / 8.4
14 / Continuous Probability Distributions / 9.2
15 / HW3 (due 7/11) / Sampling Distributions / 10.1 – 10.4
16 / Bridge to Inference / none
17 / Estimation of the Population Proportion / 11.1 – 11.4
18 / Estimation of the Population Mean / 12.1, 12.2, & 12.3
Test 1: No later than July 12
19 / HW4 (due 7/20) / Hypothesis Testing / 13.1 – 13.5
20 / Testing About the Proportion
21 / Testing About the Mean / 13.6
22 / Diff. Between Two Means: Dependent Samples / 14.7 & 14.8
23 / HW5 (due 7/25) / Diff. Between Two Means: Independent Samples / 14.1 – 14.4
24 / Two-Sample Problems w/Categorical Data / 15.5
25 / Inf. w/Categ. Data: Tests of Homogeneity / 15.1 – 15.4
26 / Inf: w/Categ. Data: Tests of Independence / 15.6
27 / HW6 (due 8/1) / Significance of Regression / 16.1 – 16.4
28 / Inference about the Mean versus Prediction of the Individual/Examination of Assumptions / 16.6 & 16.7
29 / Linear Regression/Residual Analysis / Chap. 17
30 / Principles of Exp. Design / 21.1 – 21.4
31 / One-Way Analysis of Variance—ANOVA / 21.6 & 21.7
Test 2: No later than Aug 2

*All due dates, unless indicated elsewhere, are by 11:59 p.m.

**Pre-material quiz does not require a proctor—it is expected to be an individual effort, however.

Lab
Number / Lectures / Due
Date / Lab
Contents
1 / 1 – 10 / 6/28 / Data manipulation in Excel
2 / 11, 12 / 7/2 / Two‐dimensional plots: time‐ and otherwise
3 / 13, 14 / 7/5 / Binomial, Normal calculations in StatCrunch/Excel
4 / 15 – 18 / 7/9 / Confidence Interval Estimation in StatCrunch/Excel
5 / 19 – 21 / 7/19 / Hypothesis testing
6 / 22, 23 / 7/23 / Dependent versus Independent Sample Analysis
for Difference of Means
7 / 25, 26 / 7/27 / Analysis of (Categorical) Bivariate Data
8 / 30, 31 / 8/1 / ANOVA—ANalysis Of VAriance to discern a
difference among Means