Math 219 Syllabus

 

Course Calendar

Meet Your Instructor:  Dr. Marty Romero

Course Description:

Beginning course in statistics. Includes descriptive statistics, graphical displays of data, probability, confidence intervals, hypothesis testing, regression, contingency tables, ANOVA, and non-parametric statistics. Includes use of technology.

Textbook Information:

Statistics, Informed Decisions Using Data, 5th Edition by Michael Sullivan III

Student Edition: 0-13-413353-6

Student Learning Outcomes

1. By the end of the semester students will correctly interpret a graphical display of data.
2. By the end of the semester students will take a statistical claim about a data set, perform an appropriate procedure, and write a conclusion that addresses that claim. 

Classroom Policies

Attendance

I will be taking roll during each course meeting. Attending every class is required and important for your success. Remember there are no make-up assignments, tests and quizzes. If you are absent, you are responsible for getting any class announcements and updates, and turning in any assignments that are due. Remember, any student missing the first day of class will be dropped. Any student absent 4 times during the semester may be dropped.

Tardiness

Any student missing 30 or more minutes of class (start and/or end of class) will be marked absent, unless your missing time is cleared with me prior to class beginning. The best way to do this is via email.

Classroom Behavior

Students are expected to actively participate by following class rules, being on time, having materials, answering and asking appropriate math questions, presenting solutions to the class, and helping others. Students are not expected to distract or disrupt their peers. All cellular phones or other technological devices must be put away and put on silent at the beginning of class. If you need to leave the classroom during class, please do so quietly without disturbing others.

Course Assignments

MyLab Statistics (MLS) Homework

Homework: Section assignments are assigned on the course schedule and due dates are shown in MLS (1-2 Point/Problem). Online help features available to assist, you may redo any problem as many times before the due date. 25% will be deducted for late homework.

 

It is important you keep an organized notebook with your written work from these problems. This will allow you to revisit concepts and problems when reviewing when studying for quizzes and exams.

Textbook Homework

Selected problems from textbook will be assigned after we complete a lesson. Your solutions to those problems will be due on the Day of the Exam. If you are late or not present when homework is discussed, graded, and collected, it will not be accepted.   The grade for each homework assignment is determined by three things and worth 100 points: (Full Completion and effort, Correcting your homework before class, and turning it in on time). Keep in mind that solutions are provided a head of time, 20 points will be deducted if you do not self-correct your homework using the posted solutions. 1. Mark problems you got correct (use a C or check mark) and correct problems that you got wrong. 2. Make sure to write down correct solutions and understand why you got a problem wrong. Use a RED/COLORED pen to make your Corrections

BE NEAT AND ORGANIZED WITH YOUR WORK, USE STANDARD SIZE PAPER AND MAKE SURE EVERYTHING IS LABLED AND FOLLOWS THE FORMAT BELOW. ILLEGIBLE WORK WILL NOT BE SCORED.

NO LATE WRITTEN HOMEWORK IS ACCEPTED

Out of Class Written Assignments/ Workgroup Assignments / Mini Projects / Discussion Boards / Canvas Assignments

During class time I will design learning activities where you engage in the act of doing and learning statistics beyond rote memorization and procedures. It is my belief you understand statistics better and are able remember which procedures to apply when you discover statistical concepts on your own or with others. These assignments may need to be completed out of class and in collaboration with others. If these assignments are completed in class then you must be present in class to get credit. Most of these assignments will integrate the use of StatCrunch; when statistics is done in the real world, technology is implemented. No Make-ups.

(Points will vary)

Course Quizzes/Exams/Final

Exams

There will be 3 exams throughout the course that is broken up into two parts: Part 1 is completed in class and consists of show-your-work questions, and related to written homework and group quizzes. Part 2 is done online [in class] and consist of questions chosen from your online homework.  There are no make-up Tests.

 

Quizzes

There will be 8 quizzes throughout the course. Four of them will be done individually and four of them will be completed in groups of 2, 3, or 4 persons. Individual quizzes will be specifically related to Written Homework Problems and Group Quizzes will be more conceptual and maybe even a little more challenging. (2 lowest quizzes will be dropped)

Final

The final exam will cover Chapters 1-13 and be given during the last class meeting. It will contain both multiple-choice and free-response questions. There are no make-up Final exams. (*Your Final Exam percentage will be averaged with your lowest exam percentage to REPLACE your LOWEST EXAM PERCENTAGE, this is only if your Final Exam score is higher than your lowest exam score and you have 70% or above on your online homework)

Grading

Online Homework: 15%

Textbook Homework / Out of Class Written Assignments / Workgroup Assignments / Mini Projects: 10%

Quizzes (Individual and Group): 15%

Tests: 36%

Final: 24%

A: 90% and Above     B: 80%-89.9%               C: 70%-79.9%   D: 60%-69.9%   F: Below 60%