MATH 171 - Statistical Decision Making - Sections 2, 4 and 5

Class Syllabus - Fall 2010

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Course Description:   Statistical Decision Making is an elementary statistics course designed to show the student how statistics is used in problem solving and decision making. Topics may include graphical representations of data; measures of central tendency and variability; elementary concepts in data collection and design of experiments; elementary probability concepts; distributions including the binomial and normal distributions; correlation and regression; and confidence intervals and hypothesis testing for means, proportions and differences of means and proportions. Special emphasis is placed upon the understanding of concepts and the proper use of statistics in real life situations. This course is a Longwood University General Education course and counts as 3 semester credits.   In order to increase the likelihood of success in this course it is recommended that the student attend class without fail, religiously work the homework, read the textbook, focus on understanding the concepts (not just the rote computations), and seek help from the professor and other sources (tutoring, library, textbook CD and/or website, etc.) when needed. 

Learning Objectives:  This course will give students a working knowledge of the ideas and tools of basic statistics.  Students will learn to:

  • understand the difference between categorical and quantitative data and how to describe and analyze each type, including relationships among variables.

  • present and interpret data graphically (barcharts, piecharts, histograms, scatterplots, stemplots, and boxplots)

  • compute and interpret measures of center, spread and correlation for quantitative data

  • identify response and explanatory variables

  • find, use and interpret the least squares linear regression line of a quantitative response variable on an quantitative explanatory variable

  • apply basic concepts of probability to find probabilities using the normal distribution

  • explain the difference between experimental and observational studies and the types of conclusions that can be drawn from each

  • explain and use the Central Limit Theorem in relation to the sampling distribution of the sample mean

  • use the basic tools of statistical inference including confidence intervals and tests of hypotheses for population means (z and t procedures) and population proportions.

Prerequisites:  Since this is a general education course, there are no prerequisites for the course.

Professor:  Dr. M. Leigh Lunsford.  For Dr. Lunsford's office location, phone number, email address, schedule (including office hours), and other general information, go to her homepage:  http://www.mathspace.com/Lunsford/

Meeting Times and Locations:   

  • Section 1 - MWF 8:00 - 8:50 am, Ruffner 354

  • Section 3 - MWF 11:00 - 11:50 am, Ruffner 354

Required WebAssign:  WebAssign is a web site containing a complete eBook that supports highlighting and note taking, study resources, and your assignments. We will be using WebAssign for assigned homework, so you are required to purchase access to it.   Please be sure to see the directions for how to set up your WebAssign account.

Optional Course Textbook:  The printed textbook is not required. You are required to purchase access to WebAssign (see above) which has an electronic copy of the textbook.  Below is the information about the book if you would like to purchase a hard copy of the textbook.  Note that the bookstore is not stocking hard copies of the textbook.   

Title: Elementary Statistics: Looking at the Big Picture

Author: Nancy Pfenning

Edition, Date: 1st edition, 2011

Publisher: Brooks/Cole.Cengage.

ISBN: 978-0-495-01652-6

Required Technology/Computer Configurations: 

  • A TI-83, TI-83+, TI-84 or TI-84+ graphing calculator is required for this course.  If you do not use one of these then you will be responsible for knowing how to use your particular calculator. 

  • You will need to have Microsoft Word installed on your computer in order to complete your Final Project.

  • Make sure your computer is configured to run WebAssign.

Determination of Course Grade:

50% - Two In-Class Exams (25% each)

18% - On-line homework and In-Class or On-line Quizzes

  7% - Hand-In Final Project
25% - Comprehensive Final Exam

Grades will be assigned on a ten point scale (90's A's; 80's B's; 70's C's; 60's D's; 50's and below F).  Below is a table showing the minimum score (in percent) necessary for plus and minus grades:

 

Plus or Minus Grade Minimum % Score Needed to Achieve Grade
A+ 98
A 92
A- 90
B+ 88
B 82
B- 80
C+ 78
C 72
C- 70
D+ 68
D 62
D- 60
F 0

Honor Code:  I expect you to conform to the Longwood University Honor Code as contained in the Student Handbook.  All material handed in to me, including on-line work, falls under the honor code.

On-Line Homework:   The on-line homework is meant to be a check that you understand fundamental concepts.  The problems will be very similar to the problems in your textbook and in some cases will be problems from the textbook.  On-line homework work will be completed via WebAssign.  This work will consist of homework problems from your textbook.  After each class period I will assign problems to work via WebAssign.  These will be due before the next class period (typically by 8:00 a.m. the day of the next class period).  The on-line work will not be available to take after the due date.    Please check WebAssign everyday for your on-line assignments

In-Class Quizzes:   Approximately every two weeks a short (15 to 20 minute) quiz will be given in class.  Occasionally an assignment to be completed outside of class will count as a quiz (such as the Easy Quiz and an occasional hand in assignment).  These quizzes will be based on your homework assignments and our class discussions but will typically be somewhat harder than your on-line homework because you will be required to show all of your work.  I will try to give at least one class period notice for an in-class quiz (please see the WebAssign page for the latest information on quiz dates).  Once an in-class quiz has been graded and returned to the students, there will be no make-ups for that quiz, period.  All quizzes must be pledged.  Please see the Sample Quizzes and Tests page for examples of in-class quizzes (some with solutions).

Make-up On-Line Work and In-Class Quizzes:  There will not be any make-up in-class quizzes or make-up on-line work.  If you have a legitimate University sponsored event in which you must participate (such as a sporting event) scheduled on the same day as an In-Class quiz, then please see me about taking the quiz early.  Once a quiz has been given in class, you cannot take it.  Also, if a hand-in assignment is due on a day when you will not be able to come to class, then please make sure you hand in your assignment to me before the class meeting.  

In-Class Exams:  A minimum of a one week notice will be given for exam dates.  Please see the class schedule below for the tentative exam dates (for more detailed information about test dates see the Calendar in WebAssign).  Except in the case of an emergency, a make-up exam must be scheduled before the scheduled exam date.  If the exam has already been given and you have not previously scheduled a make-up, then you will receive a zero on that exam. 

Final Project:  You will have a hand-in final project that you will be working on during the course of the semester.  I will give more information about the final project after the drop/add day.

Final Exam:  The final exam for this course will be comprehensive.  You cannot miss the final.  Failure to take the final exam will automatically result in an F grade for the course.   Please see me as soon as possible if you have a conflict with the final exam date.

Final Exam Dates:   

  • Section 1 - MWF 8:00 - 8:50 am, Ruffner 354: Monday, May 2, 8:00 - 10:30 a.m.

  • Section 5 - MWF 11:00 - 11:50 am, Ruffner 354: Thursday, May 5, 8:00 - 10:30 a.m.

If you have a conflict with the final exam date and need to reschedule, please see me as soon as possible.

Extra Credit:  Extra Credit will NOT be given - period.

Attendance & Excused Absences:   You are expected to attend every class.  If you miss classes it will most likely be reflected in your grades (i.e. you will perform poorly).  The following college attendance policy will be followed per the Class Attendance section of the Academic Regulations chapter of the Longwood University Undergraduate Catalog:  Missing 10% of class meetings may result in a lowering of one letter grade.   Missing 25% of class meetings for any reason will result in an automatic “F” for the course.  Absences are excused only for illness, college sponsored activities, and recognizable emergencies.  You must have the proper documentation for an excused absence.  Student Health Services can provide documentation only for students hospitalized locally or absent at the direction of Student Health Services personnel You must also assume full responsibility for all material covered during your absence, including scheduling any early in-class quizzes or make-up exams.  A grade of "0" will be assigned for all work missed due to unexcused absences.

Resources for Students Learning Statistics:  

  • Me!  I want you to consider me to be your number one resource!  In addition to seeing me during my office hours, you are welcome to call me or send me email if you have questions about your homework.  If you are unable to see me during my office hours please make an appointment with me! 
  • WebAssign contains resources to go with the eText.  I will also be posting the slides I use in class under the Resources section on WebAssign.  If you print these slides, please try to print at least six to a page to save paper and ink.
  • There is a link above to a page that contains Sample Quizzes and Tests given in previous MATH171 classes.  Some of these also have solutions!  These are in pdf format. 
  • Longwood's Learning Center:  The Learning Center offers free tutoring for MATH171 - please see their website for more details. 

Office of Disability Services:  Any student who feels s/he may need an accommodation based on the impact of a physical, psychological, medical, or learning disability should contact me privately. If you have not already done so, please contact Longwood's Office of Disability Support Services to register for services.

Class Schedule:  Below is a very tentative class schedule.  This schedule may change due to class pace, etc.  However, it is provided here for your information.  For a more detailed schedule depending on our actual classroom interaction please see the Calendar page of the Stats Portal.

Week of Class

Topics Covered

Corresponding Chapters in Textbook
1

Course Introduction

Data Production

Chapters 1 & 2

Observational and Experimental Studies

Graphical and Numerical Displays of Data (Single Variable)

Chapters  3 & 4
3

The Normal Distributions

Graphical and Numerical Displays of Data (More than One Variable)

Chapters 3 & 4
4

Graphical and Numerical Displays of Data (More than One Variable)

Regression

Chapter  4
5

Sampling Distributions

Chapter 8
6

Review for Test 1

Test 1

 
7

Inference for a Single Categorical Variable

Chapter 9
8

More Inference for a Single Categorical Variable

Inference for a Single Quantitative Variable

Chapters 9 & 10
9 More Inference for a Single Quantitative Variable Chapter 10
10

Inference for Relationships between Categorical and Quantitative Variables

Chapter 11
11

Inference for Relationships between Two Categorical Variables

Chapter 12
12

Review for Test 2

Test 2

 
13

Inference for Relationships between Two Quantitative Variables

Chapter 13
14

Review for Final Exam

 
15

Final Exam

 

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