Statistics

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 covariances
 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
Mandatory assignments
Exercises
Form(s) of Assessment
Written exam, 4 hours
Grading Scale
Alphabetical Scale, A(best) – F (fail)
External/internal examiner
Internal examiner.
Coursework Requirements
Exercises
A detailed plan of the course requirements will be made available at the beginning of the term.
Teaching Materials
 Løvås, Gunnar G.: Statistikk for universiteter og høgskoler, ISBN 8215002242