Probability and Statistics

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KHUDKIBOOK
PROBABILITY AND STATISTICS BE03000251
FREE PDF BE03000251
Code: BE03000251 Credits: 4 Semester 3 Plastic

Probability and Statistics

Get the full GTU study material, English & Gujarati textbook PDFs, syllabus curriculum, and solved previous year question papers.

Probability and Statistics Syllabus — Unit-wise Content

The official GTU curriculum for Probability and Statistics (subject code BE03000251) as prescribed for Plastic · Semester 3 divides the course into 5 units, covering 35 listed topics. The unit-wise breakdown below is read from the GTU syllabus document for this subject code, so you can check what the course actually covers before deciding which papers to attempt.

Download the official syllabus PDF (BE03000251)

Unit 1 Basic Probability

8 lecture hours

  • definition of probability
  • conditional probability
  • independent events
  • Bayes' rule
  • Bernoulli trials
  • Random variables
  • discrete random variable
  • probability mass function
  • continuous random variable
  • probability density function
  • cumulative distribution function
  • properties of cumulative distribution function
  • Program Name: Bachelor of Engineering Level: UG Subject Code: BE03000251 Subject Name: Probability and Statistics

Unit 2 Some special Probability Distributions

11 lecture hours

  • Binomial distribution
  • Poisson distribution
  • Poisson approximation to the binomial distribution
  • Exponential and Gamma densities
  • Evaluation of statistical parameters for these distributions

Unit 3 Basic Statistics

10 lecture hours

  • Measure of central tendency: Moments
  • Linear Correlation
  • correlation coefficient
  • rank correlation coefficient

Unit 4 Applied Statistics

12 lecture hours

  • Formation of Hypothesis
  • Test of significance: Large sample test for single proportion
  • Difference of proportions
  • Single mean
  • Difference of means, and Difference of standard deviations
  • Test of significance for Small samples: t- Test for single mean
  • difference of means
  • t-test for correlation coefficients
  • F- test for ratio of variances
  • Chi-square test for goodness of fit

Unit 5 Curve fitting by the numerical method

4 lecture hours

  • Curve fitting by of method of least squares
  • fitting of straight lines
  • second degree parabola and more general curves

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