Statistics

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.
The parameters in normal distribution (one and two variables), binomial and Poisson distribution. Linear model.
Simulation:
- Computer applications (Binomial, normal and linear model).

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 deviation of the straight line constants.
- Use statistical methods to solve practical engineering problems

Lectures, assignments