Overview
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###### Course Contents

1. Introduction: Meaning of Statistics, Characteristics of Statistics, Descriptive and Inferential Statistics, Population and samples, Statistics application in business 2. 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 3. Measures of Central Tendency for grouped: The Arithmetic Mean, The Geometric Mean, The harmonic mean, The Median, , The Mode, Quantiles 4. Measures of Dispersion: Range, The Semi Inter Quartile Range, The Quartile Deviation, The Mean deviation, The Variance and Standard Deviation, Relative Dispersion 5. 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 6. Binomial Probability Distribution: Introduction, Discrete Random Variable, Binomial frequency Distribution and its properties. 7. Normal distribution: Introduction, standardized normal distribution and its properties, Tabulated areas of Normal Distribution, inverse use of table of areas under normal curve 8. 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

This Course will equip students to: • Apply statistical analysis to business data and use the laws of probability. • Demonstrate the rule of numeracy by: applying the four rules to whole numbers, fractions and decimals, expressing numbers in standard form and multiplying and dividing negative numbers

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###### Examples of calculating Probability normal distribution

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Book Title : Introduction to statisticals theory
Author : Prof. sher Muhammad Chaudhry
Edition : Latest Edition
Publisher : Ilmi Kitab Khana

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

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

Title : Introduction to Statistics
Type : Presentation

View Introduction to Statistics

Title : overall view of Statistics
Type : Presentation

View overall view of Statistics

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 : Application of Central tendencies
Type : Presentation

View Application of Central tendencies

Title : Describing and calculating Binomial Distribution
Type : Presentation

View Describing and calculating Binomial Distribution

Title : Calculating Normal Distribution
Type : Presentation

View Calculating Normal Distribution