ØKB1114 Statistics

Course description for academic year 2018/2019

Previous years

Descriptive statistics: populations and samples, measures of central tendency, measure of dispersion as well as measure of covariance.
Probability calculations and combinatorics: Conditional and unconditional probabilities, tree diagrams, dependence and independence.
Stochastic variables, expected values and variance. Simultaneous probability distributions.
Confidence Intervals and different types of hypothesis testing; t-test, chi-square test etc.
Regression analysis: Linear regression analysis with hypothesis test of ¿ as well as prediction.

Knowledge:

The student:

Has knowledge about probability theory and combinatorics and how to use it.
Knows what stochastic variables, expected values and variance are.
Is familiar with different kinds of probability distributions, such as the normal distribution, the binomial distribution, chi-square distribution etc..
Knows the central limit theorem and its significance.
Has basic skills in probability calculations and combinatorics, knows the difference between conditional and unconditional probabilities and knows the difference between dependent and independent events.

Skills:

The student:

Is able to use basic methods to analyze and describe data.
Is able to use probability theory.
Is able to estimate simultaneous probabilities and covariance.
Is able to calculate different types of confidence intervals for different kinds of data.
Is able to carry out hypothesis tests on various data.
Is able to do a linear regression and carry out a hypothesis test on ¿ in the regression equation as well as calculate prediction intervals.

General competence:

The student knows how to use the content of this course as basis for other subjects.

None

None

Lectures and individual work.

None

Written exam, 5 hours, 100%

Grade scale A-F

All written and printed study aids may be used, Calculator TI-84 Plus is handed out during the exam.

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