Holyoke Community College

MTH142: Statistics (Online)

Instructor: Aaron Levin, Assistant Professor, Dept. of Mathematics 

Contact Information:

Office: Frost 362

Phone: (413) 552-2439

Email: alevin@hcc.edu 

The following items are utilized in this course: the course textbook and a graphing calculator.

1. The course textbook is "Elementary Statistics" (11th edition) by Mario F. Triola. You may purchase the text from the HCC bookstore, the Addison-Wesley website at http://www.aw-bc.com, or from any of your favorite used-textbook sites.

2. A graphing calculator is required for this course. I require the TI-83, TI-83 Plus or TI-84 since our textbook as well as my instructor notes explain in detail how to use this type of calculator for the various statistics applications covered in the course. Moreover, the TI-83, 83+, or 84 has all of the necessary statistical functions designed and ready to use (which will make your life infinitely easier, particularly in the later chapters).  If you do have calculator questions, please do not hesitate to contact me. If you presently do not own a graphing calculator, the HCC library has a limited number available for loan.

Course Description and Procedures

This course is designed to introduce the student to the highly useful discipline of statistics. This course will cover graphical presentation of data, measures of central tendency and variability, probability and probability distributions, the central limit theorem, estimation of parameters, hypothesis testing, regression and correlation, analysis of variance, as well as other topics at the instructor’s discretion.

The prerequisite for this course is the completion of MTH082, MTH095 or MTH097 with a grade of C- or better, or an adequate score on the Mathematics Placement Examination. Any student enrolled in this course who has not met the prerequisite for this course will be dropped from this course. No exceptions.

Instructional Objectives

A student enrolled in this course should be developing the following abilities:

1. The ability to understand the methods of descriptive and inferential statistics.

2. The ability to assess the factors which affect the variability of data.

3. The ability to approach statistical experimentation in a clear, concise and logical manner.

4. The ability to solve problems of a statistical nature, including problems that require the application of learned knowledge in new and different situations.

Teaching Procedures

This course is taught entirely online, in the distance learning format currently in place here at HCC. I am always happy to meet students in person, so if you find yourself on campus and wish to say hello, that would be swell. Technically speaking, this is an asychronous course since no actual live person-to-person contact is required between instructor and student. You should expect to encounter some combination of the following instructional methods throughout this course:

  • Reading assignments and tutorials from the textbook
  • Chapter notes from the WebCT package and the instructor
  • Online classroom discussions
  • Online quizzes and exams
  • Other online activities and homework assignments as assigned

Course Topics (subject to modification depending on time constraints)

This course includes the following topics drawn from the first 9 chapters of the text:

* An Introduction to Statistics (chapter 1)

* Describing, Exploring and Comparing Data (chapters 2 and 3)

* Probability (chapter 4)

* Discrete and Continuous Probability Distributions (chapters 5 and 6)

* Estimates and Sample Sizes (chapter 7)

* Hypothesis Testing (1-sample and 2-sample) (chapters 8 and 9)

* Linear Regression (chapter 10)

* Additional information may be introduced, if time permits. 

Specific sections to be covered in each chapter of the assigned text will be provided in the course syllabus and announced regularly on the WebCT site, so always check for updates!!!!! Additional reading may be required from other chapters for the purposes of learning certain definitions, etc.

Basis for Student Grading and Criteria/Evaluating Student Performance/Tentative Test Schedule

Your course grade will be determined from some combination of the following, all of which are conducted online: quizzes, homework questions, exams, discussion questions, and the final exam.  The course syllabus will have complete details as to which of the above assessment tools will be utilized during the semester or summer.  Note: there is alays a cumulative final exam given at the conclusion of the course.

In order to complete this course with a grade of D- or higher, both of the following conditions must be met:

* An overall semester average of 60% or higher (on all graded material)

* A passing score on the final exam

If either (or both) of the above conditions are not met, you will receive a grade of F for this course.

Attendance Policy

This course is NOT self-paced. Assignments are due by the dates indicated. Timely participation in all discussions, homework and quizzes will indicate to the instructor that the student is actively attending the course. Students who anticipate being unable to participate in any portion of the class should contact the course instructor in advance. The failure of a student to log in and/or participate in discussions or assignments for two concurrent chapters may result in the administration of the grade of AW (Academic Withdrawal).  Ultimately it is the student's responsibility to withdraw from a course, so the grade of AW is not a guarantee and should not be assumed as granted.

ATTENTION SUMMER STUDENTS

During the summer session, since we are covering 14 weeks worth of material in only a 7-week period, you should expect to be online EVERY DAY in order to maintain a good standing in the course.  There is a great deal of material in this class, and taking a few days off for vacation (or other reasons) will have a serious impact on your ability to complete the material by the indicated due dates.  Please take this into account before you decide to sign up for this online course.

 

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