Introduction to Statistics

Courses under Statistics

Nature and scope of Statistics. Populations, Samples and inductive processes. Tabular and diagrammatic representation of data. Combinatorial analysis. Discrete and continuous distributions; Poisson, Normal, t, f and distributions. Measures of location and dispersion. Inference about population means, proportion and variances. Estimation. Tests of significance. Comparison of two means. Analysis of variance. Correlation and regression. Time series, Demographic measures and index numbers. Pre- requisites: MTH 101, 102 or equivalent.

  • Probability Distributions
  • Sample Survey Design
  • Stochastic Processess
  • Statistical Inference
  • Multivariate Analysis and Applications
  • Statistical Quality Control.
  • Operations  Research
  • Regression Analysis
  • Statistical Decision Theory
  • Further Statistical Inference
  • Non – parametric Inference and Sequential methods
  • Further aspects of stratified sampling. Double sampling with equal and unequal probabilities. Multistage cluster sampling. Two stage and three stage sampling clusters of unequal sizes. Sub sampling with units of equal sizes. Area sampling. The economics design of Surveys. Sampling with imperfect frames.

  • Statistical project will be arranged within the Department. This requirement may also be satisfied by taking a course in a substantive area of application approved by the Department.

  • The B.Sc. degree programmes in the Department of Mathematical Sciences is four(4) years(100-400 Levels) for UTME candidates, while that of Direct Entry(DE) is three(3) years(200-400 Levels).

The Department of Mathematical Sciences offers two degree programmes leading to the award of B.Sc. degree in Mathematics and B.Sc. degree in Statistics.