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Course List

Probability and statistics

  • Course Code :
    MST 103
  • Level :
    Undergraduate
  • Course Hours :
    3.00 Hours
  • Department :
    Faculty of Computers & Information Technology

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Area of Study :

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Probability and statistics

This course provides an introduction on Statistics. Topics of interest include the statistical analysis on statistical data, statistical measurements. Elementary probability, probability theorems, conditional probability, independent and dependent events, total probability rule and Baye's Theorem. Discrete probability distribution, probability mass function, continuous probability distribution and probability density function. Mathematical expectation: mean and variance. Special discrete distribution: Bernoulli, Binomial. Geometric and Poisson distributions. Special continuous distribution: Uniform, negative exponential and normal distribution.

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Probability and statistics

Course outcomes:

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Probability and statistics

Course topics and contents:

Topic No. of hours Lecture Tutorial/Practical

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Probability and statistics

Teaching And Learning Methodologies:

Teaching and learning methods

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Probability and statistics

Course Assessment :

Methods of assessment Relative weight % Week No. Assess What

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Probability and statistics

Books:

Book Author Publisher
Introduction to Probability and Statics J. Susan Milton McGraw Hill
Statistical Techniques in Business and Economics lind McGraw Hill

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