MTH197 - Statistics I

Outline info
Last revision date 2017-05-10 15:58:26.502
Last review date 2017-05-10 15:58:26.505

Subject Title
Statistics I

Subject Description
In this course students explore data management and analysis within the context of mathematics. Students apply methods for organizing and analyzing information for solving problems involving probability and statistics and integrating statistical concepts in order to further refine their mathematical skills. This course will prepare students for study and work in a variety of fields including business, the social sciences, humanities, health science, and other science-related fields. 

Credit Status

Learning Outcomes
Upon successful completion of this subject the student will be able to:

1.      Solve problems involving the probability of an event or combination of events for discrete sample spaces.
2.      Solve problems involving the application of counting principles such as permutations and combinations to determine the probability of an event.
3.      Calculate probability distributions for discrete and continuous random variables.
4.      Explain the role of data and the use of reliable and valid data measurements in statistical studies.
5.      Describe the characteristics of a good sample, some techniques used in sampling, and the principles of primary data collection.
6.      Draw conclusions to solve a problem by analyzing and interpreting one- and two-variable data.
7.      Use statistical methods, visualization tools, and appropriate statistical language to communicate findings and recommendations.

Essential Employability Skills
Respond to written, spoken, or visual messages in a manner that ensures effective communication.

Execute mathematical operations accurately.

Apply a systematic approach to solve problems.

Locate, select, organize, and document information using appropriate technology and information systems.

Show respect for diverse opinions, values, belief systems, and contributions of others.

Interact with others in groups or teams in ways that contribute to effective working relationships and the achievement of goals.

Manage the use of time and other resources to complete projects.

Take responsibility for one's own actions, decisions, and consequences.

Cheating and Plagiarism
Each student should be aware of the College's policy regarding Cheating and Plagiarism. Seneca's Academic Policy will be strictly enforced.

To support academic honesty at Seneca College, all work submitted by students may be reviewed for authenticity and originality, utilizing software tools and third party services. Please visit the Academic Honesty site on for further information regarding cheating and plagiarism policies and procedures.

All students and employees have the right to study and work in an environment that is free from discrimination and/or harassment. Language or activities that defeat this objective violate the College Policy on Discrimination/Harassment and shall not be tolerated. Information and assistance are available from the Student Conduct Office at

Accommodation for Students with Disabilities
The College will provide reasonable accommodation to students with disabilities in order to promote academic success. If you require accommodation, contact the Counselling and Disabilities Services Office at ext. 22900 to initiate the process for documenting, assessing and implementing your individual accommodation needs.

MTH069 or MTH079 or MTH149  (grade B or higher) or Grade 11U/12C Math. 

Topic Outline

  • Counting and Probability
  • Probability Distributions
  • Organization of Data for Analysis
  • Statistical Analysis
  • Integration of Data Management Techniques

Mode of Instruction
In-class: Students attend classes on campus each week. All instruction is delivered in a face to face environment.
Teaching and Learning Methods:
To ensure that students are engaged as much as possible in the learning process, instructors can use such teaching methods as class and small group discussions, essays and research, individual and group presentations, readings, lectures, workshops, in-class exercises, and/or web-based instruction. The mode of delivery will dictate the most appropriate teaching methods available to an instructor.

Prescribed Texts

Mathematics of Data Management.
Publishr: Nelson Education Inc. Authors: David Zimmer, Gordon Cooke, Stewart Craven, Beverly Farahai, Thomas Steinke & Chris Kirkpatrick.
ISBN-10: 0-17-61579-4 / ISBN-13: 978-0-17-615779-1

Reference Material

Required Supplies

Promotion Policy

Grading Policy
A+ 90%  to  100%
A 80%  to  89%
B+ 75%  to  79%
B 70%  to  74%
C+ 65%  to  69%
C 60%  to  64%
D+ 55%  to  59%
D 50%  to  54%
F 0%    to  49% (Not a Pass)
EXC Excellent
SAT Satisfactory
UNSAT Unsatisfactory

For further information, see a copy of the Academic Policy, available online ( or at Seneca's Registrar's Offices.

To be successful in this course, you must complete all course work as specified and achieve an overall grade of 50% or higher.

Modes of Evaluation
To be successful in this course, you must complete all course work as specified and achieve an overall grade of 50% or higher. For further information on evaluation and academic standing, see a copy of the Academic Policy available at Seneca registration offices.

Please note:  to satisfy the Pre-health graduation requirements, student's must obtain a minimum grade of 60% if wishing to pursue a BSCN or 65% if wishing to pursue the RPN program.

Term Work:

All term work assignments must be completed prior to the time of the examination. Unless students have been granted an extension in advance, late take-home assignments will be penalized one letter grade per day and will not be graded after one week (there is no provision for rewriting late assignments, regardless of the grade).  Students must contact faculty in advance of due date to discuss extensions.

If a student has to miss any in-class quiz/test, he/she must notify the faculty via email or phone messages prior to start time of the quiz/test date.  Valid documentation (such as original stamped doctor's note) must be submitted to the faculty on or before the next scheduled class.  Make-up opportunities may be arranged at the Test Centre.

Grading scheme:
Test 1 - 15%
Test 2 - 15%
Test 3 - 20%
Assignments (3) - 15%
FINAL - 35%

Student Success:

Please come prepared to participate in class. Make sure you bring your course text to each class, participate in class discussions, hand in any assigned work on time and attend each and every class. Following these suggestions will increase your chances of success.

Approved by: Fiona Bain-greenwood