FYBSc Sem 1 STATISTICS
The purpose of this course is to familiarize students with basics of Statistics.
F.Y.B.Sc. Computer Science Syllabus
Credit Based System and Grading System Academic year 2016-2017
Course: USCS206
Statistical Methods and Testing of Hypothesis
(Credits : 2 Lectures/Week: 3)
Objectives:
The purpose of this course is to familiarize students with basics of Statistics. This will be essential for prospective researchers and professionals to know these basics.
Expected Learning Outcomes:
1) Enable learners to know descriptive statistical concepts
2) Enable study of probability concept required for Computer learners
Unit I
Standard distributions:
Week 1
random variable; discrete, continuous, expectation and variance of a random variable,
Week 2
pmf, pdf, cdf, reliability,
Week 3
Introduction and properties without proof for following distributions; binomial, normal, chi-square, t, F. Examples
Unit II
Hypothesis testing:
Week 4
one sided, two sided hypothesis, critical region, p-value,
Week 5
tests based on t, Normal and F, confidence intervals.
Week 6
Analysis of variance : one-way, two-way analysis of variance
Unit III
Non-parametric tests:
Week 7
need of non-parametric tests, sign test, Wilicoxon’s signed rank test,
Week 8
run test, Kruskal-Walis tests.
Week 9
Post-hoc analysis of one-way analysis of variance : Duncan’s test Chi-square test of association
Your Instructor
