# 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.