# INT202 - Statistics

 Semester Summer - 2020 Winter - 2020 Fall - 2019 Summer - 2019 Winter - 2019 Fall - 2018 Summer - 2018 Winter - 2018 Fall - 2017 Summer - 2017 Winter - 2017 Fall - 2016 Summer - 2016 Winter - 2016 Fall - 2015 Summer - 2015 Winter - 2015 Fall - 2014 Summer - 2014 Winter - 2014 Fall - 2013 Schools offering this subject Select school Faculty of Continuing Education Last revision date Mar 9, 2020 2:07:47 PM Last review date Mar 16, 2020 8:49:37 AM

Subject Title
Statistics

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.