·
Probability
and Sample spaces;
·
probability
laws; addition rule, multiplication rule
·
conditional probability, Bayes’
theorem;
·
random
variables;
·
distribution
and density functions;
·
expected
value and variance.
·
Basic
Discrete Probability Distributions Binomial, Poisson, Geometric, Hypergeometric.
·
Basic
Continuous Probability Distributions, Normal and Exponential.
·
The
central limit theorem.
·
The
Sampling distribution of the mean;
·
Point
and interval estimation;
·
Sample
size and precision of estimates.
· Small samples and the t-distribution
Books
Berenson, M.L. and Levine, D.M., Basic Business Statistics, Prentice-Hall White,
J, Yeats, A and Skipworth, G., Tables for Staticticians Blaylock, H.M Social Statistics McGraw Hill
Freund, J.E. and Williams, F.J., Modern Business Statistics, Pitman
(Virtually any book on basic business statistics will cover the topics described above.)
see also the university's page for CA234