الإحصاء التطبيقي — عامل أحادي و

Applied Statistics Single-factor and factorial experimental design methods; nested-factorial experiments. Simple and multiple linear regression methods, correlation analysis, indicator regression; regression model building and transformations. Contingency tables, binomial tests, nonparametric rank tests. Simple random and stratified sampling techniques, estimation of sample size and related topics. Use of SAS, Maple or other statistical packages. Lectures, 3 hours per week; lab/tutorial, 1 hour per week. Prerequisite(s): STAT (MATH) 1F92 or 1P98 . Note: major credit will not be granted to Mathematics majors. This course may be offered in multiple modes of delivery. The method of delivery will be listed on the academic timetable, in the applicable term. Completion of this course will replace previously assigned grade and credit obtained in MATH 2P98.

• Prerequisite(s): STAT (MATH) 1F92 or 1P98 .
• Note: major credit will not be granted to Mathematics majors. This course may be offered in multiple modes of delivery. The method of delivery will be listed on the academic timetable, in the applicable term. Completion of this course will replace previously assigned grade and credit obtained in MATH 2P98.