| Aim | The students must be able to
- Compute means and standard deviations, expectation values, variances and co-variances
- Compute probabilities and use discrete and continuous probability distributions
- Compute point and interval estimates for the parameters in the Normal distribution
- Use a test of hypotheses
- Compute correlations, find a straight line by using the method of least squares and determine the standard deviations of the straight line constants.
- Compute standard deviations and find control limits used in control charts
- Use statistical methods to solve practical engineering problems
|
| Content | Descriptive statistics:
- Measures of central tendency, variation and linear regression.
Probability:
- Stochastic models, elements of probability, conditional probability, independence
Probability distributions:
- Expected value, variance and standard deviation. - Binomial and Poisson distribution. Uniform, normal, Students t- and exponential distribution.
Statistical inference:
- Point and interval estimators. Tests of hypotheses.
Process control: Shewart control charts.
Simulation:
- Computer applications (Binomial, normal, linear and bi-normal model).
|
