INT202 - Statistics

Outline information
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Last revision date Mar 9, 2020 2:07:47 PM
Last review date Mar 16, 2020 8:49:37 AM

Subject Title

Subject Description
This course provides an introduction to basic statistical concepts and techniques that are common to various disciplines.  Statistical methods of data collection, analysis, presentation and interpretation for making generalizations, projections and decisions will be introduced.  Both descriptive and inferential techniques will be explored.  

Credit Status
Required mathematics course for students in the Bachelor of Interdisciplinary Studies degree program

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

  • Demonstrate the ability to present, describe and summarize data using graphic representations, measures of central tendency and variation.
  • Evaluate probabilities by defining sample spaces and through the use of probability rules, including mutually exclusive and independent cases.
  • Distinguish between discrete and continuous random variables and determine expected value and standard deviation of a discrete random variable and binomial probability distribution.
  • Determine the probability of intervals on a normal distribution using z-scores and a normal distribution table.
  • Calculate the mean and standard error of a random variable and probabilities for a given sample mean using the Central Limit Theorem.
  • Use sample data to determine confidence intervals for the mean and proportion of populations.
  • Construct a test of hypothesis of a mean or proportion by indicating the null and alternative hypothesis, identifying and calculating the test statistic, and drawing appropriate conclusions.
  • Perform simple regression and correlation analysis by determining and interpreting the correlation coefficient, the coefficient of determination and the coefficients of the sample regression line.
  • Use a regression equation to predict the value of the dependent variable for a selected value of the independent variable and conduct a test of hypothesis for the coefficient of correlation and each coefficient of regression.
  • Determine and interpret confidence intervals and prediction intervals for the dependent variable.

Essential Employability Skills
Execute mathematical operations accurately.

Apply a systematic approach to solve problems.

Use a variety of thinking skills to anticipate and solve problems.

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

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

Academic Integrity
Seneca upholds a learning community that values academic integrity, honesty, fairness, trust, respect, responsibility and courage. These values enhance Seneca's commitment to deliver high-quality education and teaching excellence, while supporting a positive learning environment. Ensure that you are aware of Seneca's Academic Integrity Policy which can be found at: Review section 2 of the policy for details regarding approaches to supporting integrity. Section 2.3 and Appendix B of the policy describe various sanctions that can be applied, if there is suspected academic misconduct (e.g., contract cheating, cheating, falsification, impersonation or plagiarism).

Please visit the Academic Integrity website to understand and learn more about how to prepare and submit work so that it supports academic integrity, and to avoid academic misconduct.

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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 Accessibility Services Office at ext. 22900 to initiate the process for documenting, assessing and implementing your individual accommodation needs.