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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


Measure of Dispersion ( variance, standard devaiation and coefficient of variation)

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Examples of calculating Probability normal distribution

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Calculating Probability Binomial distribution

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Defining Binomial distribution

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Explaining Correlation and Regression

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Calculating Pearson’s Correlation coeffient(r)

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Defining Correlation

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Describing Statistics/its types

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Frequency distribution table

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Calculating frequency distributions table

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Graphical Representation of data

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Presentation of data and frequency distribution

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Calculation of Mean

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Calculation Mean/Median/Mode

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Application of Arithmatic and Harmonic Mean

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Calculating Meadian and Quartiles

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Calculation of Quartile, Decile and Percentiles

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Measure of Dispersion ( Range and Quartile deviation)

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Measure of Dispersion ( inter Quartile deviation, Mean deviation and coefficient)

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Probability (Describing Events)

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Probability (Describing Permutation)

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Probability (Describing Combination)

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Defining Probability

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Probability with Playing Cards

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Addition rule of probability

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Calculating Conditional PRobability

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Introduction to Regression Analysis

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Example (Linear Regression)

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Example calculating probability binomial distribution

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Introducing Normal distribution

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Calculating Probability Normal distribution

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Reverse Use of Z-score table with examples

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Book Title : Statistics for Management
Author : Levin I. Richard
Edition : 4th Edition
Publisher : Mc Graw Hill



Book Title : Introductions to statistical Theory
Author : Prof. Dr. sher Muhammad Chaudhry
Edition : Latest Edition
Publisher : Ilmi Kitab Khana



Book Title : Introduction to the Practice of Statistics
Author : David, S Moore et al
Edition : 6th Edition
Publisher : WH Freeman







Title : Introduction to Statistics
Type : Presentation

View Introduction to Statistics


Title : overall view of Statistics
Type : Presentation

View overall view of Statistics


Title : Application of Central tendencies
Type : Presentation

View Application of Central tendencies


Title : Presentation of data
Type : Presentation

View Presentation of data


Title : Defining variance and its calculation
Type : Presentation

View Defining variance and its calculation


Title : Describing Normal Distribution
Type : Presentation

View Describing Normal Distribution