Print Course syllabus
Course syllabus - Probability Theory and Statistical Inference
Scope
7.5 credits
Course code
MAA137
Valid from
Autumn semester 2015
Education level
First cycle
Progressive Specialisation
G1F (First cycle, has less than 60 credits in first-cycle course/s as entry requirements).
Main area(s)
Mathematics/Applied Mathematics
School
School of Education, Culture and Communication
Ratified
2014-12-12
Literature lists
Course literature is preliminary up to 8 weeks before course start. Course literature can be valid over several semesters.
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Books
Stokastik : sannolikhetsteori och statistikteori med tillämpningar
1. uppl. : Stockholm : Liber, 2008 - viii, 530 s.
ISBN: 9789147053513 LIBRIS-ID: 10820212
URL: Omslagsbild
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Books
Stokastik : sannolikhetsteori och statistikteori med tillämpningar
1. uppl. : Stockholm : Liber, 2008 - viii, 530 s.
ISBN: 9789147053513 LIBRIS-ID: 10820212
URL: Omslagsbild
Reference Literature
Objectives
The course presents basic concepts and methods of probability theory and statistical inference, and provides increased skills in application of these disciplines in science, technology and economics.
Learning outcomes
1. formulate and apply basic concepts and laws for probability such as sample point, event and sample space; the probability definition, independent events and conditional probability; basic properties of probability, the Law of Total Probability and Bayes' rule.
2. formulate and apply basic properties and functions of random one-dimensional variables.
3. formulate definition of and apply following distributions: the geometric distribution, the uniform distribution, the binomial distribution, the Poisson distribution, the exponential distribution and the normal distribution.
4. describe and apply measure of central tendency, dispersion and dependency.
5. describe and apply the main methods and concepts of point estimation, confidence intervals estimation, hypotheses testing and linear regression models.
Course content
-Probability: Basic concepts. Discrete and continuous random variables. Functions of random variables. One-dimensional distributions. Measure of central tendency, dispersion and dependency. Geometric distribution, binomial distribution, hypergeometric distribution, Poisson distribution, uniform distribution, exponential distribution and normal distribution. Approximations of the binomial and Poisson distribution. The Central Limit Theorem.
-Statistical Inference:Estimation. The Method of Least Squares. The Method of Maximum Likelihood. Confidence Intervals. Hypothesis Testing (incl. Chi-square test). Linear Regression.
Tuition
Lectures and classes
Specific requirements
Basic Calculus, 7,5 credits or the equivalent.
Examination
TEN1, Examination, 3,5 credits, individual written and/or oral examination regarding learning outcomes 1-3, marks, Fail ( F), 3, 4 or 5.
TEN2, Examination, 4 credits, individual written and/or oral examination regarding learning outcomes 1-5, marks Fail (F), 3, 4 or 5.
A student who has a certificate from MDU regarding a disability has the opportunity to submit a request for supportive measures during written examinations or other forms of examination, in accordance with the Rules and Regulations for Examinations at First-cycle and Second-cycle Level at Mälardalen University (2020/1655). It is the examiner who takes decisions on any supportive measures, based on what kind of certificate is issued, and in that case which measures are to be applied.
Suspicions of attempting to deceive in examinations (cheating) are reported to the Vice-Chancellor, in accordance with the Higher Education Ordinance, and are examined by the University’s Disciplinary Board. If the Disciplinary Board considers the student to be guilty of a disciplinary offence, the Board will take a decision on disciplinary action, which will be a warning or suspension.
Grade
Pass with distinction, Pass with credit, Pass, Fail