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10 Courses

Year 3

CSCT4118 Data Analysis with R- Programming

Course outline:

-          Recall Descriptive statistics

o   (Observation, Visual display, Measure of central tendencies and dispersion)

-          Sampling techniques

o   (Sampling plan, sampling methods)

-          Sample comparison

o   (Simple parametric and non-parametric tests; T-test and Wilcoxon tests)

o   Comparing two small samples

o   Comparing two large samples

o   Comparing more than two samples

§  One-way analysis of variance

·         Equals and unequal sample sizes

o   Duncan’s multiple range test

o   Bartlett’s test

§  Two way analysis of variance

·         With and without replication)

-          Regression and Correlation

o   Regression analysis

o   Correlation analysis

-          Multiple regression

-          Multiple correlation ( Partial Correlation)

-          Robust procedures

-          Practical lessons using SPSS, R and a Programming Language

 

References

1)      Statistic and Computing: Introductory Statistics with R by Peter Dalgaard, 202

2)      Applied Statistics with Microsoft Excel; Gerald Keller, 2001

3)      Statistics, Data Analysis and Decision Modelling; Lames Evans & David Olson, 2000

4)      Introduction to Statistics, 3rd edition; Ronalds E Walpole, 1982