Syllabus  MA337/MA338
MA337 Statistics (part one)
[The syllabi for MA337 and 338 are approximate,
and more topics may be added depending on the students' interests and the
instructor's preference. Assessment of students is usually based on homework
assignments (for most of which use of statistical software is required),
and a final examination.]
Explanation of the difference between probability and statistics. The role
of probability in statistical decision making.
Review of basic probability and statistical inference
Review of techniques of data presentation and summarisation.
Discussion of several probability models, including binomial, geometric,
Poisson and normal. Moments of distribution.
Statistical inference: concepts of point and interval estimation, and of
hypothesis testing, Pvalue and power of tests.
One and twosample inference (parametric and nonparametric). Analysis
of enumerative data.
MA338 Statistics (part two)

Simple linear regression, including inferences about parameters, prediction,
procedures for checking model inadequacy, etc.

Multiple linear regression, including model assumptions, global and partial
Ftests, stepwise regression, etc.

Analysis of Variance, including its relation to regression analysis, oneway
ANOVA, randomized block and Latin square designs.
Texts

R.L. Ott, "An Introduction to Statistical Methods and Data Analysis"

Ryan & Joiner, "Minitab Handbook" (Duxbury)
References

J.E. Freund, "Modern Elementary Statistics" (Prentice Hall)

P.G. Hoel & R.J. Jesson, "Basic Statistics for Business and Economics"
(Wiley)

T. Sincich, "Business Statistics by Example" (Dillon/Macmillan)
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