Course Contents

• Introduction: Meaning of Statistics, Characteristics of Statistics, Descriptive and Inferential Statistics, Population and samples, Statistics application in business • Data condensation and Presentation: Variables, Data, Tabulation, Frequency Distribution, Cumulative Frequency Distribution, Graphical Representation, Simple Bar Chart, Multiple Bar Chart, Component Bar Chart, Rectangles and Sub-divided Rectangles • Measures of Central Tendency for grouped: The Arithmetic Mean, The Geometric Mean, The harmonic mean, The Median, , The Mode, Quantiles • Measures of Dispersion: Range, The Semi Inter Quartile Range, The Quartile Deviation, The Mean deviation, The Variance and Standard Deviation, Relative Dispersion • Probability, Combination and Permutation: Introduction, Sets, Venn Diagram, Operation on sets, Successive event principles, permutation of all or parts elements of the set, permutation of the objects ranged in circle, Combination, Addition rules of probability, Conditional Probability, Multiplication rule of probability • Binomial Probability Distribution: Introduction, Discrete Random Variable, Binomial frequency Distribution and its properties. • Normal distribution: Introduction, standardized normal distribution and its properties, Tabulated areas of Normal Distribution, inverse use of table of areas under normal curve • Regression and Correlation: Scatter Diagram, Simple Linear Regression Model, Least- squares estimates in simple linear Regression, Pearson Product Moment Correlation Co-efficient.

Course Synopsis

The objective of this course is to provide basic knowledge of Statistics to students so as to prepare them for advanced work in quantitative business analysis and interpretation of business problems.

Course Learning Outcomes

At the conclusion of this course, the student will be able to grasp the following topics: • Data description and data presentation in a business environment; • Measures of Central Tendency and Dispersion • Basic probability concepts and probability distributions as an aid to business decision making. • Regression and correlation