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Course Outline: Probability & Statistics
Resource : Mr.Inam-ul-Haq Designation : Associate Professor Department : Statistics Credit Hours : 3 Institution : GC University, Lahore Telephone : 111-000-010 Ext.No : 313 Lectures : 3 Semester : Fall 2007 E-Mail :
Course Objectives: To introduce the basic concept of statistics, randomness and probability and build on these concept to develop tools and techniques to work with random variables
Reference Books: Introduction to Statistics, Walpole, 1982 Prentice Hall, ISBN: 0024241504. Statistical Data Analysis, G. Cowan G, 1998, Clarendon, Oxford. Advances in Statistical Analysis and Statistical Computer III Mariano R (Ed.), (1993), JAI Press, Greenwich, Conn.
Software Required: Statistical Package for Social Science (SPSS)
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GC University Lahore
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Computer Science Department |
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Grading Criteria:
Quiz / Assignment 10 Assignments 10 Mid Term Tests 30 Project 25 Final Exam 25
Total 100 |
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Course Outline and Schedule
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Week |
Topics to be covered |
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1 |
Introduction to Statistics, Descriptive & inferential Statistics, Role of Statistics in decision making. |
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2 |
Graphical representation of Data, Stem and leaf plots, Box, Histogram and give |
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3 |
Measures of central tendencies, Basic concepts & numerical illustration to the applied side |
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4 |
Measures of Dispersion for grouped as well as ungrouped data, Basic definitions, concept and numerical illustration with real life examples |
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5 |
Moments of the frequency distribution, concept of symmetry and skewness, Pearson' s and Bow ley's, Coefficient of skewness |
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6 |
Use of Elementary statistical package for explanatory data analysis |
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7 |
Counting Techniques, Difference between Permutations and Combinations, examples with real life problems |
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8 |
An overall discussion to link up the basic concepts studied in the first seven weeks of the term |
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MID-BREAK |
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Week |
Topic to be Covered |
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9 |
The need of probability for making the inferences from the real life data Definition of probability with classical and relative frequency approach and subjective approaches |
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10 |
Basic concept of the sample space, event and laws of probability |
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11 |
Concept of the general probability distributions Idea of conditional probability and numerical illustration |
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12 |
Bays theorem with application to random variable |
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13 |
Basic idea of discrete probability distributions & Viz , Binomial and Prisson |
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14 |
Concepts & numerical illustration of geometric and negative Binominal distributions. |
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15 |
Concept of Exponential, Gamma and Normal distribution. |
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16 |
Basic idea of Regression, Regression Coefficient & Regression lines Concept of Correlation, Correlation Coefficient, Perfect positive and perfect negative correlation and the properties of Correlation. |