Mary Mogan-Vallon (Mathematics)Methods of Applied Statistics
MA1119/SC1119
Days: MWF lecture; M Lab Room: HH-220
Instructors Information:
Name: |
Jessie Klein |
Mary Mogan-Vallon |
Office: |
Henderson Hall 322 |
North Academic 214 |
Telephone: |
781-280-3862 |
781-280-3945 |
E-mail: |
Required Text and Equipment: Online resource materials in statistics, design of experiments and scientific data comprise the required “text” for this course. Specific readings and web sites will be assigned throughout the semester. The TI-83, TI-83-Plus or TI-84 graphing calculator is required.
Course Description:
MA1119 – Methods of Applied Statistics 4 credits
Methods is an interdisciplinary, project oriented course in which students conduct experiments, perform statistical analyses and produce lab reports. Using lab experiments from the life and physical sciences, students will analyze results while learning and using descriptive statistics, probability density functions, parametric and non-parametric statistical tests and linear correlation and regression. Hypothesis testing and basic experimental design are emphasized throughout the course.
This course satisfies the Written Intensive and the Computer Literacy Intensive.
Prerequisites: MA1106 or MA1135 with a grade of C or better, or by placement exam above MA1106, and placement above or successful completion of EN2103. It is assumed that the student has acquired a thorough knowledge of Algebra and has some knowledge of the graphing calculator before entering this course.
Class Attendance and Atmosphere: To be successful in this course, the student must maintain good attendance. Legal absences are documented religious holidays, court appearances, and illness. However, regardless of the reason for the absence, the student is required to complete all labs, tests and assignments in a timely fashion. More than three absences in a semester are excessive. The college attendance policy can be found in the Student Handbook. Please make every effort to arrive to class on time. If you are late for any reason, please take your place quickly and quietly and check with your instructors at the end of class for any missed handouts. Please turn off all audible noises from cell phones and pagers. If you have an emergency situation and must leave your "buzzers" on, please tell me.
You are encouraged to review all policies and procedures regarding Student Conduct, Rules and Regulations, as set forth in the Student Handbook of Middlesex Community College. We expect everyone in this class to respect each other’s right to learn in a pleasant, safe environment with a minimum of distractions and interruptions.
Blackboard: The syllabus and assignments are posted on Blackboard. Please verify within the first two days of class that you can successfully enter the Blackboard site for this course. If you cannot do so, please tell us at once.
Critical Thinking: Students design and conduct experiments, read problems, research relevant information, state questions, organize and apply experimental techniques and statistical formulas. They collect and study data from different scientific experiments. They check how data is gathered, state assumptions and determine appropriate statistical methods to analyze that data. They list any causes of bias and justify their conclusions after judging their reasonableness.
Teaching Methods: Classroom instruction combines lecture, laboratory experiments and discussion. Group work and student projects are conducted within and outside the classroom. Students are free to ask questions in every class, to offer their own solutions whenever they have them and to contribute their own insights during classroom discussions. Classroom participation consists of good attendance, cooperative work habits, and timely completion of all assignments.
Assignments: The orientation of this course is the application of statistical processes throughout the design and analysis of experiments. We will be conducting experiments and investigations. The student will complete a written report for each investigation and a formal lab report for each experiment.
You should keep a lab notebook complete with all class work problems, homework problems, your questions, solutions and research notes. If you have trouble organizing your notebook, please see your instructors for help.
Problems are assigned with each class session. The best method of study is to read, research and attempt all homework problems before the next class session. Each class will begin with a review of the previous class assignments. The final assessment will be your independent research, experiment and report. Both Professor Klein and Mogan-Vallon will help you in the selection and structure of this project.
Academic Honesty: All MCC students are expected to understand the meaning of academic honesty and to behave in accordance with the College policies on academic honesty as published in the Student Handbook. You must never explicitly nor implicitly present another person's work as your own.
Support Services: Free tutoring is available in both the Math Labs in Henderson Hall, Room 116 in Bedford and on the fourth floor of the City Campus in Lowell. If you have special needs because of learning disabilities, please feel free to discuss these with your instructors. You can (and should) also talk to a Learning Specialist on campus. Students with documented disabilities who believe they may need accommodation(s) in this class are encouraged to contact Disability Support Services in order to ensure that such accommodations are accomplished in a timely matter.
Lowell Campus Bedford Campus
City Building, 3rd floor Building 9, 2nd floor
978-656-3258 (on-campus x3258) 781-280-3630 (on-campus x3630)
Evaluation: Your grade will be computed in the following manner.
Lab reports: 50%
Reports on investiagtions: 30%
Major Research Project: 20%
We understand that you may be a complete novice when it comes to producing lab reports. However, we expect to see continuous improvement in your ability to write your reports. We expect that at the start of this course, you may have to rewrite and resubmit your reports.
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Course Desc
Assessment
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Topic Outline
Grading Project Goals Test Wrksht |