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PFS0157
Statistics I: Basic Statistics
The course is built on lectures and computer exercises. The main moments are as follows:
• Descriptive statistics.
• Basic probability theory.
• Probability distributions.
• Statistical inference of means and proportions, one and two samples.
• Nonparametric and resampling methods.
• Analysis of frequency data.
• Sample size determination.
• Descriptive statistics.
• Basic probability theory.
• Probability distributions.
• Statistical inference of means and proportions, one and two samples.
• Nonparametric and resampling methods.
• Analysis of frequency data.
• Sample size determination.
Syllabus
PFS0157 Statistics I: Basic Statistics, 4.0 Credits
Syllabus approved
2018-12-19Subjects
Mathematic StatisticsGrading scale
Pass / Failed
The requirements for attaining different grades are described in the course assessment criteria which are contained in a supplement to the course syllabus. Current information on assessment criteria shall be made available at the start of the course.
Language
EnglishPrior knowledge
NoneObjectives
The objective of the course is to give an introduction to basic probability theory and statistical inference. On completion of the course, the student will be able to:• use basic probability concepts and statistical principles
• formulate a problem in statistical terms
• describe common statistical methods including conditions and assumptions
• apply basic statistical methods in scientific research
• select an appropriate statistical method for a given problem
• carry out a basic statistical analysis
• interpret and evaluate results correctly and draw reasonable conclusions
• clearly and concisely communicate results and conclusions
• use statistical software for analysis
Content
The course is built on lectures and computer exercises. The main moments are as follows:• Descriptive statistics.
• Basic probability theory.
• Probability distributions.
• Statistical inference of means and proportions, one and two samples.
• Nonparametric and resampling methods.
• Analysis of frequency data.
• Sample size determination.
Additional information
ImplementationScheduled activities:
Lectures: 16 h
Computer exercises 4 h
Examination and course evaluation 10 h
Self studies 80 h
Totally 110 h
Responsible department
Department of Forest Resource ManagementCourse facts
Subject:
Mathematic Statistics
Course code: PFS0157 Location: Umeå Distance course: No
Language: English Responsible department: Department of Forest Resource Management Pace: 50%
