Course Outcomes |
Learning and teaching strategies |
Assessment Strategies |
|
On completion of this course, the students will be able to: CO109: Students will Interpolate and extrapolate the data CO110: Categorize discrete and continuous probability distributions to various business problems CO111: Select test of Hypothesis as well as calculate confidence interval for a population parameter for single sample and two sample cases CO112: Consider Chi-Square test for Independence as well as Goodness of Fit and ANOVA CO113:Critically evaluate statistical results
|
Interactive Lectures, Discussion, Tutorials, assignments.
|
Class test, Semester end examinations, Quiz, Solving problems in tutorials, Assignments, individual projects |
Set Theory: Definition of Set, Presentation of Sets, Different types of Set- Null Set, Finite and Infinite Sets, Universal Set, Sub Set, Power Set. Set Operations, Laws of Algebra of sets, Venn Diagram. |
Interpolation & Extrapolation: Newton’s methods of advancing differences, Binominal Method & Lagrange’s Method
Concept of Permutation and Combinations Probability- Basic Concepts, Importance of Concept of Probability, Theorem of Probability (Additional Theorem and Multiplication Theorem), Conditional Probability, Bayes’ Theorem, Mathematical Expectation Probability Distribution: Binomial, Poisson’s and Normal. |
Time Series Analysis: Introduction, Utility of Time Series Analysis, Components of Time Series Analysis, Measurement of Trend: Freehand or Graphic Method, Method of Semi Averages, Methods of Moving Averages, Method of Least Square, Shifting the Trend Origin, Measurement of Seasonal Variations: Method of Simple Average, Ratio to Trend, Ratio to Moving Average Method, Link Relative Method |
Statistical Inference-Test of Hypothesis: Introduction, Procedure of Testing Hypothesis, Two types of Errors in Testing Hypothesis, Two Tailed and One Tailed Tests of Hypothesis, Test of Significance for Large Samples, Test of Significance for Attributes, Test of Significance for Small Samples (Student’s t Distributio
Chi Square Test and Goodness of Fit: Introduction, Degrees of Freedom, The Chi Square Test and Alternative Method of Obtaining of the value of Chi Square, Chi Square Test for Specified value of Population Variance |
Analysis of Variance: Application of F Test, Assumption in Analysis of Variance, Analysis of Variance in One-Way and Two-Way Classification Model.
ESSENTIAL READINGS:
SUGGESTED READINGS:
e-RESOURCES:
JOURNALS: