QAA140 - Statistics Level II

Outline info
Last revision date 2018-07-20 13:46:00.859
Last review date 2018-07-20 13:46:04.229

Subject Title
Statistics Level II

Subject Description
This subject covers more advanced concepts and statistical techniques used for problem solving and quality improvement in industry, such as:  Histograms and Probability Distribution, Confidence Limits, Hypothesis Testing, Chi Squares, Variance Analysis, Linear Correlation and Regression Models.

Credit Status
One credit toward the Quality Assurance Certificate Program

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

1. Develop an understanding of advanced statistical techniques such as hypothesis testing and sampling.
2. Evaluate quality functions, analyze processes and corresponding out of control situation.
3. Use techniques such as Analysis of Variance, Regression and Correlation to reduce product variability.

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.

QAA 110 - Quality Concepts 
QAA 120 - Basic Statistics and SPC  

Topic Outline
Review of BS & SPC 
Frequency distributions 
Stem-and-Leaf charts 
Portraying frequency distributions graphically 
Box and Whisker plots 

Concepts of probability 
Counting rule 
Probability rule 

Normal probability distribution 
Exponential other distribution 
The Binomial probability distribution 
The Poisson probability disribution 
Weibull distribution 

Special charts 
Individual and moving(ImR), moving average and moving range(MamR), median 

Confidence limits 
Interval estimation of means 
The t distribution 
Interval estimation of proportions 
Determining the sample size 

Hypothesis testing: an introduction 
Hypothesis tests about a population mean 
Hypothesis tests about a population proportion 

Inferences about the difference between two population means 
Inferences about the difference between two population proportions 

The Chi-Square distribution 
The goodness of fit 
Contigency table 
A test of independence of homogeniety 

F Distribution 
Inferences about the population variance 

One-way analysis of variance 
Calculating the value of the test statistic 

Simple linear regression analysis 
Least squares line 
Assumptions of the regression model 
Standard deviation of random error 
Coefficient of determination 

Linear correlation 
Linear correlation coefficient 
Hypothesis testing about the linear correlation coefficient 
Using regression model to estimate the mean

Mode of Instruction
Lectures, class discussion and case studies.

Prescribed Texts
Custom Ebook: Introduction to Statistical Quality Control with Introductory Statistics Author: Montgomery & Mann, Students can purchase the etext from

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.

Modes of Evaluation

  • Assignments must be submitted at the beginning of the class on the due date.
  • A late penalty of 10% per day is assessed for late assignments, including those not handed in at the beginning of class when due.
  • Material will not be accepted after one week following the due date and/or when the marked material is returned to students, whichever comes first.
  • Assignments are to be prepared by computer.

Absenteeism and Exams
  • Students should be aware that absenteeism almost guarantees an inability to achieve satisfactory grades.
  • Students who are absent for a final examination due to an emergency (e.g., motor vehicle accident, hospitalization or death in the family) may provide official documentation within five days of the missed exam and be provided a deferred exam at a later date.  Official documentation includes a death notice or an original doctor’s certificate identifying the date, length of time expected absence and the specific reason for the absence.  Examinations missed without official documentation and approval result in a grade of zero.
  • There are no deferred options for missed tests or midterms.  The value of missed tests, at the discretion of the Faculty, will be added to other evaluation components

English Proficiency
  • All written work should demonstrate the following characteristics for clarity and conciseness:
-writing is consistent with the rules of English grammar
-spelling and punctuation are correct
-sentences are structured correctly
-main ideas are supported with specific, relevant examples and reasons
-work flows logically through supporting statements/paragraphs
-work is arranged in correct format (e.g., as a report, essay)
-up to 10% of the final grade may be deducted on all work if the above English competencies are not met.

Format for Assignments
  • Students must use the standard, APA style for quoting sources.   Help is available at:
 Grading is based on the following marking scheme:

Assignments 30%
Mid-Term Exam 30%
Final Exam 40%
Total 100%

Since this is a professional credit subject, marking standards reinforce professionial practice by demanding legible, tidy work. Assignments should be well organized and grammatically correct, with proper spelling and punctuation. Late assignments are penalized. For particulars, please obtain standards, dates, etc. from your instructor. 

Approved by: Sharon Estok