The courses below are offered here at the University of Ottawa. If you have completed or are planning to complete a statistics course at another institution, you can compare it with these descriptions:
APA3381 Measurement and Data Analysis in Human Kinetics
Introduction to measurement and data analysis in human kinetics. Use of computer applications to analyze, manage and present scientific data. Descriptive and inferential statistics of the various types of variables (categorical, nominal, ordinal, numeric, continuous, discrete) including concepts such as central tendency, variability, measuring association and testing hypotheses.
Prerequisite: APA2180. The courses APA3381, PSY2106, HSS2381, MAT2378 cannot be combined for credits.
HSS2381 Quantitative Methods in Health Sciences I
Introduction to measurement and data analysis in health sciences. Use of computer applications to analyze, manage and present scientific data. Focus on application of such concepts as central tendency, variability, measuring association and testing hypotheses within the health sciences.
PSY2106 Quantitative Methods in Psychology I
Descriptive statistics: frequency distributions, measures of central tendency and variability, normal curve, correlation and regression. Introduction to inferential statistics: hypothesis testing, t-test and chi-square. Application to psychology. Leads to PSY2116.
Prerequisites: PSY1101, PSY1102. Reserved for students registered in the Major, Joint Honours and Honours with specialization programs in psychology.
MAT1371 Descriptive Statistics
Design of experiments: controls and confounding effects. Descriptive statistics: histograms, average and observed standard deviation. Approximation of standardized histograms. Elementary probability. Applications to games of chance.
The courses MAT1371, MAT2371, MAT2377, MAT2379 cannot be combined for credits. This course cannot count for credit in any program in the Faculty of Science.
MAT2379 Introduction to Biostatistics
Descriptive statistics using a software package. A concise survey of probability. The normal distribution. The central limit theorem and statistical estimation illustrated via simulation. Hypothesis testing, the design of experiments, paired sampling, categorical data and regression. Examples from the biosciences analyzed with statistical software.
Prerequisite: MAT1320 or MAT1330. The courses MAT2379, MAT1371, MAT1372, MAT1373, MAT2375, MAT2377, ADM2303, ECO3150, HSS2381, PSY2106 cannot be combined for credits. Previously MAT2378.