| 
   
    | Syllabus                                                     
    STA 2023 – Spring 2016 |  
    |     |  
    | 1.      Instructional
    Team: |  
    | 
     
      |  Course
      Coordinator: Maria
      Ripol | Lab Coordinator: Megan Mocko |  
      |   office: Griffin Floyd 117C |   office: Griffin Floyd 117B |  
      |   phone: (352)273-2976 |   phone: (352)273-2975 |  
      |   email: mripol@stat.ufl.edu |   email: mmeece@stat.ufl.edu |  
      |   office hours: MW 2:30- 4:00 pm |   office hours:   TBA |  
      |   |   |  
      |  |  |  
      |  |  |  
      |  |  |  
      |  |  |  Teaching Assistants: see Contact Us link in
    e-Learning   |  
    | 2.  General Course Information  |  
    | This course satisfies
    General Education Credits in the Mathematical Sciences. Students learn how
    to summarize data and how to make appropriate decisions based on data. This
    course has a General Education Category of M.   Course Description STA 2023 is an introductory course that assumes no prior knowledge of
    statistics but does assume some knowledge of high school algebra. Basic
    statistical concepts and methods are presented in a manner that emphasizes
    understanding the principles of data collection and analysis rather than
    theory. Much of the course will be devoted to discussions of how statistics
    is commonly used in the real world. There are two major parts to this
    course:
 I Data –
    which includes graphical and numerical summaries to describe the
    distribution of a variable, or the relationship between two variables
    (chapters 1, 2 and 3, approximately 4 weeks), and data production to learn
    how to design good surveys and experiments, collect data from samples that
    are representative of the whole population, and avoid common sources of
    biases (chapter 4, 1 week.)  II Probability and Inference –
    using the language of probability and the properties of numerical summaries
    computed from a random samples (chapters 5 and 6, 3 weeks), we learn to
    draw conclusions about the population of interest, based on our random
    sample, and attach a measure of reliability to them (chapters 7, 8, 9
    approximately 8 weeks).    Course Objective The primary goal of the course is to help students understand how the
    process of posing a question, collecting data relevant to that question,
    analyzing data, and interpreting data can help them find answers to real
    problems from their world.
   General Education Objective
    (Mathematics) Courses in mathematics provide instruction
    in computational strategies in fundamental mathematics including at least
    one of the following: solving equations and inequalities, logic,
    statistics, algebra, trigonometry, inductive and deductive reasoning. 
    These courses include reasoning in abstract mathematical systems,
    formulating mathematical models and arguments, using mathematical models to
    solve problems and applying mathematical concepts effectively to real-world
    situations.   In this course, this objective will
    be met by . . . During the semester the students will be
    given an introduction to the three main aspects of statistics: design (of
    experiments/surveys), description (of data collected) and inference
    (the extension of conclusions from the data gathered in the sample to the
    larger population). These concepts will be presented through lectures three
    times a week and lab once a week. They will also learn about the normal and
    binomial distributions as well as the methodology of confidence intervals
    and significance tests. From the methods that they learn in class they will
    be able to critique real world surveys and experiments, interpret graphs in
    newspapers and magazines as well as conduct basic statistical inference for
    one or two groups.     General Education Student Learning
    Outcomes (SLOs)   Content: Students demonstrate
    competence in the terminology, concepts, methodologies and theories used
    within the discipline.   Communication: Students communicate
    knowledge, ideas, and reasoning clearly and effectively in written or oral
    forms appropriate to the discipline.   Critical Thinking: Students analyze
    information carefully and logically from multiple perspectives, using
    discipline specific methods and develop reasoned solutions to the problems.     In this course, these SLOs will be
    met by  . . .   Content: Students will learn
    critical terminology, concepts, methods, and theories during lecture. These
    concepts will include terminology to describe one and two samples, discuss
    surveys/experiments, basic probability theory, sampling distributions, and
    one and two group inference. The students will be assessed on these terms
    and concepts during the weekly quizzes and the three exams. Students will
    also demonstrate their competence in identifying the appropriate formulas
    to use for each situation and using those formulas correctly.   Communication: The students will
    use verbal and written communication to discuss central statistical
    concepts in their weekly labs. These concepts include description of data
    sets, sampling methods and interpretations of inference methodology.   Critical Thinking: The students will be
    asked to critically think about trustworthiness of surveys and experiments
    presented in the media. Additionally, students will learn how to conduct
    significance tests, a statistical method to logically determine if there is
    enough evidence for a hypothesis. Students will learn how to state the null
    and alternative hypotheses (different perspectives) and then to use the
    data collected to determine if there is enough evidence to support the
    alternative hypothesis using methods central to the field of statistics.
    The students will be tested on these concepts in lab, quiz and on two of
    the exams.     Tentative Schedule of Topics 
     
      | Week 1 | Introduction to the field of
      statistics, Samples vs. Population, Types of Data |  
      | Week 2 | Graphical Summaries, Summary
      Statistics |  
      | Week 3 | Contingency Tables, Least Squares
      Regression |  
      | Week 4 | Least Squares Regression, Simpson’s
      Paradox |  
      | Week 5 | Good Survey and Experimental Design |  
      | Week 6 | Basic Rules of Probability,
      Discrete Probability Distributions |  
      | Week 7 | Normal Distribution, Binomial
      Distribution |  
      | Week 8 | Sampling Distribution of the Sample
      Proportion and the Sample Mean |  
      | Week 9 | Confidence Interval for the
      Population Mean and Population Proportion |  
      | Week 10 | Significance Test for the
      Population Proportion |  
      | Week 11 | Significance Test for the
      Population Mean |  
      | Week 12 | Comparing Significance Test and
      Confidence Intervals, Type I and Type II error |  
      | Week 13 | Comparing Two Independent
      Proportions |  
      | Week 14 | Comparing Two Independent Means |  
      | Week 15 | Comparing Means from Dependent
      Samples; McNemar’s Test |  
      | Week 16 | Review       |  
 |  
    | 3.  Materials  |  
    | Required Lab
    Workbook  ·       
    Lab Workbook for Statistics: The Art and Science of Learning
    from Data  by Megan Mocko and Maria Ripol,
    3rd  edition, Pearson.    ·       
    Lab Workbook MUST be purchased
    NEW, and is available alone or bundled with the textbook.   ·       
    This workbook includes copies
    of the lecture notes and all the worksheets for the Lab portion of the
    course.     Recommended Textbook   ·       
    Statistics: The Art and Science of Learning from Data by Alan Agresti and Christine Franklin,
    3rd edition, Pearson, 2013.    ·       
    Textbook can be purchased: o    as an ebook (http://www.pearsoncustom.com/fl/ufl_stat) o    hardbound new or
    used (ISBN: 9780321755940) o    bundled with the Lab
    Workbook o    Notebook Version
    covering only chapters 1-10 (this is unbound, non-returnable, and suitable
    only for students that will not take STA3024).   Scientific
    Calculator
     ·       
    You will need a calculator with some basic statistical
    functions: mean and standard deviation.  ·       
    Many inexpensive calculators (around $15) have these
    functions; check the manual or look for the following symbols: x-bar and
    either s or σn-1.  ·       
    Graphing calculator will NOT BE ALLOWED on exams.     |  
    | 4. Course Website:  |  
    | Announcements:   http://www.stat.ufl.edu/~mripol/2023.htm   Information for the course, the online
    lectures for the first week, and important announcements will appear on the
    course website listed above.    E-Learning-
    CANVAS:   http://lss.at.ufl.edu/
     After the first week of the semester,
    everything will move to a password protected website in e-Learning, an integrated, Web
    based classroom management tool.   In e-Learning you will be able to:
     ·        
    check the Announcement page  ·        
    check the calendar for upcoming quiz,
    exam or lab dates  ·        
    watch the lectures as streaming video  ·        
    take the online quizzes  ·        
    check your grades      |  
    | 5. Lectures  |  
    | Live Lectures Live lectures are taught in a large
    lecture hall that should accommodate everyone who wants to come.  Everyone is welcome to attend these live
    lectures, even those who are registered for a Web class. Lectures will also
    be taught in a smaller classroom where they will be videotaped.  The videotaped lectures will be available
    to view online through the course webpage in e-learning the same day,
    before 4pm (usually as soon as the lecture is recorded). No one is
    registered for this class, but everyone is welcome to attend.  However, this room only seats around 25
    students, so come early if you are interested.   
 
     Online Lectures  Links to the videotaped lectures will be found at the course website. You can watch the videos at home – they work best with Internet Explorer. IMPORTANT - We cannot guarantee that the online lectures will work well for each of you. Be prepared to attend the live lectures if that turns out to be the case. Some students do not have the discipline to watch and really pay attention to the online lectures, or the videos are too slow. Please remember that everyone is welcome to attend the live lectures, regardless of which section they are registered for. If you’re having technical problems with the online lectures please contact the UF computer Help Desk for assistance: call (352) 392-HELP (4357)  or email: helpdesk@ufl.edu   |  
    | 6.
    Weekly Lab Sessions in CBD220 |  
    | Students are required to attend
    Lab once a week, according to the section for which they are registered. In
    Lab, groups of around 40 students will meet with a TA to work on a simple,
    hands-on activity related to the material being covered in class. All Labs
    meet in Classroom Building 105, room 220 (CBD 220). This building is
    located half a block north of University Avenue, across from Library West.
    Worksheets with instructions for each Lab are included in the Lab Workbook.
    Students must bring these worksheets to Lab each week. The worksheets must
    be turned in to the TA before leaving Lab that day. They will be graded on
    a scale of 6 points.    Lab
    Attendance and Policies:  ·        
    Go to the right section. Students
    must attend the section they are registered for - you will get no credit
    for your work if you attend a different section.  ·        
    Be on time. Students
    must be on time for Labs, and will not be allowed to enter if they are more
    than five minutes late. Late students would disrupt the activity, and create
    problems for the rest of the students and the TA, so it will not be
    tolerated.  ·        
    Be prepared. Students
    must come prepared to Lab, having watched the lectures that cover material
    relevant to the Lab's activity.  ·        
    Bring the Worksheet. Students
    must bring the Lab Worksheet to Lab with them - you will get no credit for
    hand written labs.  ·        
    No Makeups. Students
    will not be permitted to make up any Labs that they have missed, regardless
    of the reason. Instead, we will drop the lowest three grades for all labs
    and quizzes combined.    NOTE: If
    you are registered for a lab section that conflicts with another class, or
    with several night assembly exams for other classes, you MUST CHANGE LAB
    SECTIONS IMMEDIATELY. STA 2023 Labs will never meet on the days we have an
    exam. There are usually plenty of opportunities to change sections during
    Drop/Add period. After Drop/Add is over, you will need to contact the Lab
    Coordinator to see if any changes are possible - see the top of this
    Handbook for the Lab Coordinator's contact information.       |  
    | 7.
    Weekly Online Quizzes through e-learning |  
    | ·        
    When? We will have online
    quizzes every week, unless there are exams or holidays. The quizzes are
    available online, through e-Learning, over a period of several days – the exact
    details will be announced in class and posted in the announcement page. ·        
    Where?
    You can do the quizzes from any computer that has internet access.  ·        
     Material.
    These quizzes will cover the material taught in class the previous week, and
    are designed primarily to encourage you to keep up with the lectures,
    particularly if you choose to watch them on the web at your own pace. ·        
    Three tries. You
    will be allowed three attempts for each quiz – each randomly generated, so
    the questions won't be identical. The highest grade will be recorded.  ·        
    Getting help. You
    are allowed to ask the TA's and the instructor questions about submitted
    attempts on the quiz only. For example, you can take the quiz one time,
    submit the quiz for grading, and then print out the quiz. You can then
    bring this printout with you to the tutoring room, where the TA's can help
    understand what you did wrong. You can then go and try attempt 2 on your
    own.  ·        
    No makeups. There
    will be no makeup quizzes for any reason. Instead, we will drop the lowest
    three grades for all labs and quizzes combined.  ·        
    Do well. Given
    all these opportunities, all students should do extremely well on the
    quizzes. Hopefully they will serve the purpose of improving your grade in
    the class, as well as be an important tool in learning the material for the
    course. You can also print your quizzes and use them to study for exams.  ·        
    Problems?  Pop-ups. If
    you click on the quiz and nothing happens, you need to allow pop-ups for
    this website. Firewalls may also interfere with the quizzes. Computer
    crashes in the middle of the quiz or electricity goes out?
    Restart the computer and log in again into e-Learning – it should let you
    continue the quiz. If for some reason, the system does not let you back
    into the quiz, email the instructor at mripol@stat.ufl.edu. Time
    Expired. If e-Learning gives you nasty messages about your time
    being expired, ignore them, finish the quiz and submit it.  Technical
    Problems. If you have technical problems with e-Learning, contact
    the CIRCA help desk at 392-HELP. If you are having trouble with the quizzes
    from your computer at home, and the quiz is about to close, the easiest
    thing to do is try from another computer.   |  
    | 8. Exams  |  
    | There
    will be three assembly exams, each worth 100 points. The two midterms are
    given at night, and the last one during final exam week. Each exam consists
    of 33 multiple choice questions, each worth 3 points apiece. This will
    total 99 points. You can earn the remaining 1 point by bringing a picture
    ID to the exam and by bubbling in your name, UF ID# and test code (listed
    on the front page of the exam) correctly. Exams will cover a larger amount
    of material that the quizzes and will also place more emphasis in the
    understanding of concepts and ideas behind the formulas.    Room assignments for each exam will
    be announced in class and on the website. The class will be divided up by
    sections. Bring to the exam your UFID
    number, a picture ID, no.2 pencils and eraser for completing the bubble
    sheets, and a scientific calculator. Graphing calculators may be used during the exam, but only for
    programs native to the calculator when you purchased it. Notes for the
    course and formulas for the course should not be typed into your
    calculator. Accessing notes and formulas from the course on your calculator
    during the exam is cheating. Academic
    dishonesty on any exam will result in a minimum penalty of a grade
    of zero on that exam.      Makeup
    Exam Policy  ·       
    In case of conflict with a class: You
    must attend the regular exam. Assembly exams have priority over
    regularly scheduled classes. The instructor for the other class must allow
    you to make up any work you miss because of an assembly exam - contact them
    early to make arrangements. This is a University of Florida policy, as
    stated on the Registrar's website http://www.registrar.ufl.edu/currents/finalexams.html  .  ·       
    In case of conflict with another exam: You
    must attend the regular exam unless the other exam is also an assembly
    exam, and the course number is higher than 2023. Assembly exams have
    priority over time-of-class exams. If you have two assembly exams scheduled
    for the same day and time, the course with the higher number has priority.
    This is a University of Florida policy, as stated on the Registrar's
    website. If you need to schedule a makeup, contact the instructor through
    email, in person during office hours, or through the phone (information
    appears at the top of this page). Makeup arrangements must be made at least
    ONE WEEK prior to the regularly scheduled exam.  ·       
    In case of sudden illness or emergency:
    Contact the instructor as soon as you realize you will be
    unable to take the test at the scheduled time. Each case will be reviewed
    individually. Valid and detailed documentation is a prerequisite for
    scheduling a makeup exam under such extenuating circumstances. The
    instructor must be contacted PRIOR to the time of the regularly
    scheduled exam. ·       
    Format of Makeup Exams
    will not necessarily be multiple choice although
    it will cover the same material as the regular exam.  ·       
    Travel Plans. Traveling,
    in general, is not a valid reason to request a makeup exam. Do not buy plane
    tickets assuming the instructor will then have to make other arrangements
    for your exam.   |  
    | 9.
    Lecture Notes  |  
    | The
    notes in the Lab Workbook will be used in class. When you are following the
    lectures, whether live or on the web, you should always have the lecture
    notes in front of you. The instructor will go over the definitions and
    theory, and work out the examples on the spaces provided.    |  
    |   10. Homework
    and Practice Questions  |  
    | ·        
    Suggested Homework Problems
    from the text, by section, can be found on the course webpage in
    e-Learning. These problems are assigned to help you master the material and
    will not be collected. You can get help with these problems from the tutors
    in the Tutoring Room. Doing the homework is essential step in succeeding in
    this class.  ·        
    Answers to
    odd numbered homework problems are available in the back of the
    text. Answers to all of the problems are available in the Instructor's
    Guide – copies of this are available in the Tutoring Room, and on
    reserve at Marston Science Library.     |  
    | 11.
    Minitab Statistical Computing Package |  
    | Minitab is a very easy to use and powerful statistical
    computing package. We will use Minitab in several of our Labs - the
    teaching assistant will give you directions on how to use it. You can also
    use Minitab to solve some of the homework problems assigned from the book.
    The data sets for most homework problems are included in the data disk that
    comes with the textbook. Minitab
    is available at all the PC CIRCA Labs on campus.
    You can also buy it for your home computer (or download the demo version -
    free for 30 days) at the Minitab website at www.minitab.com,
    or rent a copy of the software for a semester at www.e-academy.com/minitab.
         |  
    | 12.
    Tutoring Room  |  
    | The
    TA's for the class will be available to answer questions about the material
    covered in class, homework problems, etc, in the
    Tutoring Room located in Griffin Floyd 104. It will be open approximately
    40 hours a week – the schedule for this semester will be posted in
    e-learning. There is no need to make an appointment, just go whenever it is
    convenient for you and the TA on duty will help answer your questions.  |  
    |       13. Course Assessment |  
    |  Grade Structure:   
     
      | Exam 1 | 100 |  
      | Exam 2 | 100 |  
      | Exam 3 | 100 |  
      | Labs and Quizzes | 100 |  
      | Total | 400 |    Grading
    Scale: 
     
      | Letter
      Grade | Minimum
      Points  (out
      of 400) | Percentage
      Points (rounded off) | Grade
      Points |  
      | A . | 358 | 90-100 | 4.0 |  
      | A
      - | 346 | 87-89 | 3.67 |  
      | B+ | 334 | 84-86 | 3.33 |  
      | B . | 318 | 80-83 | 3.0 |  
      | B
      - | 306 | 77-79 | 2.67 |  
      | C+ | 294 | 74-76 | 2.33 |  
      | C . | 278 | 70-73 | 2.0 |  
      | C
      - | 266 | 67-69 | 1.67 |  
      | D+ | 254 | 64-66 | 1.33 |  
      | D . | 238 | 60-63 | 1.0 |  
      | D
      - | 226 | 57-59 | 0.67 |  
      | E . | 0 | 0-56 | 0 |      |  
    | 14.
    Course Policies  |  
    | 
     Privacy Policies: Student records
         are confidential. Only information designated “UF directory
         information” may be released without your written consent. UF views
         each student as the primary contact for all communication. If your
         parents contact me about your grade, attendance or other information
         that is not “UF directory information”. I will ask them to contact
         you.  ·        
    Email: Email
    relating to information about the class should be sent to your TA (see
    email addresses on first section of this syllabus) or to the instructor at
    mripol@stat.ufl.edu. Your message will be answered within two working days,
    in most cases. However, we ask you to please refer to this Syllabus, the
    Announcement Page and the course website to try to find the answers for
    yourself. Questions regarding the material covered in class, homework
    problems, or Lab should be asked in person, in the Tutoring Room, in Lab or
    in class. Statistical questions often require formulas or pictures, which
    can make it very hard to communicate by email. Emails should include your
    full name, and section number. If you are referring to a quiz, refer to it
    by quiz number, attempt number and question number.  ·        
    Instructor's Honor Code: We
    the members of the University of Florida community pledge to hold ourselves
    and our peers to the highest standards of honesty and integrity.  ·        
    Academic Dishonesty: We
    adhere to the University of Florida rules and guidelines for handling
    instances of academic dishonesty. Please refer to the Office for Student Services
    for detailed information about the current policies.  
     Students with Disabilities: Students who
         require special accommodations in class or during exams should follow
         the procedures outlined by the Disability Resources Program (http://www.dso.ufl.edu/drc/
         ) Please bring the course coordinator your letter of accommodations
         in the first two weeks of classes, during office hours, or make an
         appointment if you cannot make it during those hours. This letter
         must be discussed with the course coordinator directly, not with the
         lab TA, for accommodations on exams to be made.  ·        
    Class Attendance and Behavior: Attendance
    to class is not mandatory, since you will be able to watch the lectures
    online. Attendance to Lab, however, is mandatory, and you are required to
    attend the Lab section for which you are registered. For both Labs and
    lectures, we ask that you arrive on time, and to behave in a respectful
    manner towards the instructors and your fellow students. In fact, no one
    will be allowed in Lab if they are more than five minutes late. Please turn
    your off cellular phones and refrain from eating, drinking, reading
    newspapers, doing homework for other classes, and excessive talking.  ·        
    Makeup Quizzes and Labs: There
    will be NO makeup labs or quizzes under any circumstances - instead, we
    will drop the lowest three grades for all labs and quizzes combined. These
    three drops are meant to allow for missed labs or quizzes due to illness,
    personal or family emergency, personal or University sanctioned travel,
    religious observance, tardiness, laziness, and all other reasons. Do not
    abuse your drops - you never know if you will need them later.  ·        
    Makeup Exams: See
    the section on Exams for exam makeup policy.  ·        
    Grading: Grades
    will be changed only when an error has been made; negotiation is not
    appropriate.  ·        
    Incompletes are
    only assigned when extraordinary circumstances (such as an accident, or
    extended hospitalization), arising after the date for dropping the course,
    prevent the student from completing the course requirements. Having a
    failing grade in the course is not a valid reason for requesting an
    Incomplete.    |  
    | 15.
    Where to Get Help for this course:  |  
    | ·        
    in class, from your instructor  ·        
    in Lab, from your TA  ·        
    in the Tutoring Room, Griffin Floyd 104
     ·        
    for
    many classes, not just statistics, at the Tutoring Lab in the Basement of
    Broward Hall - a schedule of their hours can be obtained by calling
    392-2010 or by accessing www.teachingcenter.ufl.edu.
     ·        
    as a
    last resort, by getting (and paying) a private tutor. A list of private
    tutors can be obtained from the Statistics Department secretary in
    Griffin-Floyd 103.      |  
    | 16.
    How to do well in the course:  |  
    | ·        
    Keep up with the lectures. Remember
    everyone is welcome to attend the live lectures. If you choose to watch
    them online, do it regularly and at normal speed and pay them your full
    attention.  ·        
    Keep up with the course announcements. ·        
    Attend lab regularly, and on time.  ·        
    Take the online quizzes early, and use
    all the attempts necessary to get a good grade on them.  ·        
    Do well on the labs and quizzes, and
    complete them on time. That is the easiest way to improve your grade.  ·        
    Work out the suggested homework
    problems regularly, soon after the material is covered in lecture. Check
    your answers at the Marsten Science Library or
    with the TA’s in the Tutoring Room.  ·        
    Visit the Tutoring Room regularly to
    get help from the TA’s. Their job is to clarify any questions that you may
    have, and to help you understand the material and learn to do the problems.
     ·        
    Get to know other students in the class
    and get together regularly to work on homework problems, and to study for
    quizzes and exams.  ·        
    Prepare carefully for exams by going
    over the lectures, doing your homework and practice questions, studying
    your quizzes and reading the book. Pay special attention to the
    understanding of concepts and ideas behind the formulas.  ·        
    If you are having trouble with the
    class, talk to the instructor in person, early on, to get suggestions on
    how to do better. Do not wait until the last week to bring any problems to
    the instructor's attention. |  |