IEF 301 Statistics
This is an introductory course in statistics intended for students in a wide variety of areas of study. Students have the opportunity to describe and analyze data sets using technology, statistical inference, confidence intervals, regression, probability, normal curve, and hypothesis tests with applications in the real world. Starting from fundamental axioms of probability, students learn about calculating probabilities of basic events and the features of random variables. They explore and describe discrete and continuous random variables via their probability distributions and summary statistics, such as means and standard deviations, and relationships between two random variables in terms of covariance, correlation, and simple regression models. Topics include concepts of hypothesis testing and confidence intervals, the fundamentals of statistical inference, analysis of variance, multiple regression, non-parametric procedures, and the analysis of categorical data, and the implications of the field of Islamic statistics, among others.
Learning Outcomes
Demonstrate an understanding of statistics and econometrics.
Use statistics to analyze and estimate relevant economic parameters, predict economic outcomes, and test economic hypotheses using quantitative data.
Use statistical analysis, including the classical regression model, to estimate relevant economic parameters, predict economic outcomes, and test economic hypotheses using quantitative data.
Evaluate and critique basic assumptions of the classical linear regression model, and identify and correct any violations of these assumptions, such as autocorrelation and heteroscedasticity.
Develop and maintain a working knowledge of econometrics that will provide a basic foundation for future study in econometrics and statistical techniques.
Effectively communicate key statistical concepts clearly and professionally, both written and oral, to non-statisticians.
Summarize a technical report and/or statistical analysis and interpret results.
Classify and explain applied statistics principles and characterize theories regarding the discipline of statistics built on Islamic Foundations.
Evaluate and appraise theories and ideas within the study of Islamic statistics (e.g., issues concerning heritage, almsgiving, orphanhood, frequency of prayer, attitudes toward fasting, number of mosque attendees by gender, and so on)
Design and carry out research using theories from the field of Islamic statistics at an Islamic or non-Islamic organization or institution in Canada.