Copyright © 2016
Statistical Methods
STA 114
Descriptive Statistics: Correlation, Regression and the Normal Distribution
Contents:
Introduction, preliminary concepts, frequency distributions, graphical representation,
measures of central tendency, measures of variability, basic ideas of probability, normal
distribution, standard scores, correlations & regression. (16 Credits)
Pre-requisites: None
STA 124
Applied Statistical Inference and Estimation
Contents:
Sampling distributions, basic principles of statistical
inference, estimation and confidence
levels, hypothesis testing, parametric and non-
parametric tests, tests for stochastic independence,
goodness of fit tests. (16 Credits)
Pre-requisites: STA 114
Statistics
The following modules in Statistics are required for Mathematical
Statistics at the 200 and 300 level. Candidates must take STA 111 and
either STA 121 or STA 122, not both. STA 121 is designed for Science
students, whereas STA 122 is more suitable for Commerce students.
STA 111:
Descriptive Statistics and Differentiation
Contents:
Introduction to Statistics; collection, classification and
tabulation of statistical data; graphical representation
of statistical data; measures of location and
dispersion; basic probability concepts; discrete and
continuous probability distributions; linear regression and correlation analysis;
differentiation of elementary functions with applications. One weekly tutorial. (16
Credits)
Pre-requisites: Matriculation Mathematics with at least an E symbol (SG) or NSC pass at level 4
STA 121:
Estimation, Hypothesis Testing and Elementary Integration
Contents:
Sampling distributions; Point estimates and confidence intervals; Parametric and non-
parametric hypothesis testing; Analysis of variance (ANOVA); Integration of elementary
functions. One tutorial per week. (16 Credits)
Prerequisite: STA 111.
STA 122:
Estimation, Hypothesis Testing and Statistics for Economists
Contents:
Sampling distributions; Point estimates and confidence intervals; Parametric and non-
parametric hypothesis testing; Analysis of variance (ANOVA); Index numbers; Time
Series. One tutorial per week. (16 Credits)
Prerequisite: STA 111.
What is Statistis?
Statistics specifically
means aggregate of facts
affected/to a marked extent
by multiplicity of causes,
numerically expressed,
enumerated or estimated
according to reasonable
standards of accuracy,
collected in a systematic
manner for a
predetermined purpose
and placed in relation to
each other.
FIRST Year COURSES