Quantitative Methods I

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Quantitative Methods I

• Instructor Michael Moore

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About Me

• Graduate student in clinical psychology
• Originally from New York
• Hobbies Basketball, philosophy
• Research interests cognitive/information
  processing biases in mood disorders/depressive
  realism, attributional processes in mood
  disorders, and multivariate statistics 
• And no, this will not be on the test

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Course Overview

• Quantitative Methods 1
• Psychology 21621  Section 005  Call 15568
• Fall 2007
• Tuesday Thursday 215 pm - 330 pm
• Kent Hall Addition, Room 101
•  
• Instructor                 Michael Moore
•  
• Office                        Kent Hall (not the
  Addition), Room 267
•  
• E-mail                       mtmoore1_at_kent.edu
• E-mail is probably the single best way to reach
  me, as I tend to check it obsessively. However,
  for other than the most simple questions about
  course mechanics, etc. it is better to catch me
  during Office Hours than my having to compose a
  dissertation-length e-mail reply.
•  
• Office Hours            Tuesday Thursday
  100pm 200pm
• Also by appointment.  These office hours are
  preliminary and may need to be changed.  Any
  changes will be announced in class.

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Course Overview

• Voicemail [phone], then press (), then
  dial extension 80178
•  
• Web Page http//www.geocities.com/shinmoore/teach
  ing.html
• All lectures can be downloaded from this website
  and should be printed prior to the start of each
  class.

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Course Overview
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Course Overview

• Class attendance is not mandatory as I will not
  be taking attendance but it is strongly
  recommended. 
• One of my primary goals in this class (aside from
  teaching Statistics) is to provide an atmosphere
  of open communication between student and
  teacher. Therefore, please give me your first
  name when raising your hand to ask a question.

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Class Overview

• Homework  Throughout the semester, homework will
  be assigned for each chapter and will be worth
  25 of your final grade. Homework is due at the
  beginning of class on the assigned due date.
   Homework assignments will be graded as 1 or 0. 
  A 1 is earned when homework is legible, complete,
  shows all work, and shows that an effort was made
  to solve the problems, even if the correct
  answers were not found.  You are free to
  collaborate on homework assignments with your
  classmates, but each student must turn in his/her
  own, handwritten, assignment.  However, you are
  strongly discouraged from simply copying another
  students homework.

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Course Overview

• Examinations  There will be three exams, each
  worth 25 of your final grade.  Exams will
  consist of a mixture of short-answer questions
  and statistical problems. Although exams will not
  be cumulative per se, material covered on one
  exam may build upon the material covered on
  previous exams.  You will be responsible for the
  information presented during lectures as well as
  the information contained within the text. 
  Students are responsible for bringing pencils and
  calculators to exams. 
•  
• You should bring your KSU ID to exams as you may
  be asked to present it. Do not arrive at an exam
  lateonce the first student has completed the
  exam, no one else may start the exam.

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Course Overview

• Make-Up Exams  Make-up exams will be given only
  in emergency situations and with adequate
  documentation (e.g., a written note from a
  physician).  If a student is unable to take an
  exam on the scheduled date because of an
  emergency, the student must notify the instructor
  in advance, or as soon as circumstances would
  possibly allow. You are responsible for
  contacting me in order to make arrangements for a
  make-up exam. If an exam is missed and no make-up
  exam is taken, a zero will be given for that
  exam.
•  
• Final Grade  Your grade for the course will be
  computed as follows
•                        
•                                    Exam
  1                        25
•                                     Exam
  2                        25
•                                     Final
  Exam                 25
•                                    
  Homework                  25

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Course Overview

• Academic Dishonesty  Ive tried to structure the
  course so that any appropriately motivated
  student can succeed by doing a reasonable amount
  of work. Students caught cheating on exams will
  be dealt with severely, according to with
  university regulations.
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• Students with Disabilities  University policy
  3342-3-18 requires that students with
  disabilities be provided reasonable
  accommodations to ensure their equal access to
  course content. If you have a documented
  disability and require accommodations, please
  contact me at the beginning of the semester to
  make arrangements for necessary classroom
  adjustments. Please note, you must first verify
  your eligibility for these through Student
  Accessibility Services. You can contact them by
  calling 330-672-3391, visit their offices in the
  DeWeese Student Health Center, or visit
  www.registrars.kent.edu/disability/ for more
  information on registration procedures.

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Course Overview

• Extra Help Students enrolled in this course are
  eligible for tutoring assistance through the
  Academic Success Center in the Michael Schwartz
  Center (Rm. 207) or Stopher Hall (Monday
  evenings).  If you have any concerns about your
  math preparation for this course, you are
  strongly urged to sign up for these services.

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Course Overview

• Lecture and Reading Outline This following
  outline serves as a tentative guide since dates
  for particular lecture topics can only be
  approximate and because material may be added or
  deleted as necessary.  Again, listed exam dates
  are only approximate and may be subject to
  change.  If changes to exam dates are made, they
  will be announced in class as soon as possible,
  but in any case at least a week prior to the exam
  date. 
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• Course Outline
• Date             Topic              
                                                 
       Text Chapter
• T 8/28           Course Overview                  
                              None
• Th 8/30 Introduction to Statistics Ch. 1
• Recommended Additional Reading Cook and
  Reichardt
• T 9/4 Basic Concepts Ch. 2
• Th 9/6 Graphing Data Ch. 3
• T 9/11 Measures of Central Tendency/Variability
  Ch. 4/5
• Th 9/13 Measures of Variability
  Ch. 5
• T 9/18 The Normal Distribution Ch. 6
• Th 9/20 Review for Exam 1
• T 9/25 Exam 1