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Syllabus for Engineering Statistics. Probability: rules, cond. probability, independence Summarising and presenting data Discrete and continuous random variables: probability distributions. Special cases: binomial, Poisson, hypergeometric, normal, exponential - PowerPoint PPT Presentation
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Syllabus for Engineering Statistics• Probability: rules, cond. probability, independence• Summarising and presenting data• Discrete and continuous random variables:
probability distributions. Special cases: binomial, Poisson, hypergeometric, normal, exponential
• Expected values and variances of r.v.’s, linear combinations
• Sampling distributions: sample mean, proportions, variance. Standard error, Central limit theorem
• Point and interval estimation: mean, proportion• Control charts: construction and use, Xbar and S
Further topics
• Bivariate and multivariate relationships: prediction, modelling, regression etc.
• Time series analysis
• Reliability of components and systems
• Design and analysis of surveys
• Design and analysis of experiments
• Signal processing: speech, image, video
Microphotograph of a thin section. The colours of different grains are produced due to Birefringence(Double refraction).
To fit ellipses to grains a clear idea about grain boundary is necessary.
Strain Measurement• Magnitude of deformation is a marker of strain.• Hence to measure strain we have to measure ellipse parameters, namely Major and Minor Axes and orientation. • Ellipse parameters are obtained by fitting ellipses to grains.
Good luck in the exams!