Note: Statistics courses are offered by the Department of Mathematics and Computer Science.
Introduction to Probability and Statistics
Descriptive statistics and graphical representation. Measure of central tendency and dispersion. Elementary probability. Discrete and continuous random variables. Expectation. Binomial, normal and Student's t-distribution. Large and small sample inference and estimation. Central Limit Theorem.
Prerequisite: Mathematics 30 or Pure Mathematics 30, or Applied Mathematics 30 and at least 75% standing in Athabasca University's Mathematics 101.
Hypothesis testing. Comparison of variances. Chi-square distribution. Contingency tables. Elementary design of experiments. Random sampling. Analysis of variance. Regression and correlation. Examples to illustrate the theory are drawn from a wide variety of fields.
Prerequisite: Statistics 1770.
Note: Credit is not allowed for Statistics 2780 and Economics 2900.