Statistics
2014-2015 - REA1081 - 5 ECTS

On the basis of

REA1042- Mathematics 10

REA1101

Expected learning outcomes

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

Topic(s)

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).

Teaching Methods

Lectures
Exercises

Form(s) of Assessment

Written exam, 3 hours

Grading Scale

Alphabetical Scale, A(best) – F (fail)

External/internal examiner

Internal examiner.

Teaching Materials

  • Løvås, Gunnar G.: Statistikk for universiteter og høgskoler, ISBN 82-15-00224-2