Course content - Learning outcome - Admission - Prerequisites - Teaching - Examination - Evaluation

Course content

• Quantitative methods
• The two variable regression model (Ordinary least square
  (OLS)- regression)
• Hypothesis testing
• The problem of inference
• Simple methods for analysis of continuous and categorical data, including t-tests, non-parametric tests and tests for proportions
• Analysis of variance
• Multiple regression analysis
• Relaxing the assumptions in regression analysis: Multicollinearity, heteroscedasticity and autocorrelation
• Discrete choice models

Learning outcome

The students will be able to specify statistical hypotheses,
select the appropriate statistical methods and perform the analysis by using statistical software. In addition, they will learn to evaluate the results.

Admission

Students at UiO must apply for courses in StudentWeb.

International applicants, if you are not already enrolled as a student at UiO, please see our information about admission requirements and procedures for international applicants.

The examination in this course is not available for external candidates. Only students admitted to the course may sit for the examination.

Prerequisites

Formal prerequisite knowledge

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The students should have an introductory course in statistics

Teaching

Lectures, seminars and PC-exercise. Lectures will focus on the conceptual issues. Seminars will make students familiar with statistical programs (SPSS).

Access to teaching

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Examination

Two mandatory written assignments and a written examination.

The students must pass on both the written assignments to be allowed to sit for the written exam. If an assignments fails the student may re-deliver it within a week.

Examination support material

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All written exam resources and a calculator are allowed

Language of examination

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English

Grading scale

Grades are awarded on a scale from A to F, where A is the best grade and F is a fail. Read more about the grading system.

The mandatory written assignments are awarded eiher a pass or a fail grade. The pass/fail scale is applied as an independent scale with only two possible results.

Explanations and appeals

You may request an explanation of your grades, and you may also appeal against your grades or make a complaint about formal examination errors. Read more about explanations and appeals.

Resit an examination

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In this course the exam is regularly scheduled each semester. It is not arranged make-up exam in this course, cf. § 5.5 i Forskrift om studier og eksamener ved Universitetet i Oslo.

Withdrawal from an examination

A student may sit this exam up to 3 times. If a student wishes to withdraw from the exam, s/he must do so in StudentWeb at least two weeks prior to the first day of the exam. Failure to do so will be counted as one of the three opportunities to sit the exam.

Special examination arrangements

If you have a disability or a health problem that entails significant inconvenience in an examination situation, you may be considered for special examination arrangements. Mothers who are breastfeeding may apply for extra time to complete the exam.

Evaluation

Feedback from our students is essential to us in our efforts to ensure and further improve the high quality of our programmes and courses. All courses are subject to continuous evaluation. At regular intervals we also ask students on a particular course to participate in a more comprehensive, periodic evaluation of this course.