Basic Statistics for Data AnalysisLaajuus (2 cr)
Course unit code: C-10065-XX00FW27
General information
- Credits
- 2 cr
- Institution
- Metropolia University of Applied Sciences
Objective
The student understands basic statistical analysis methods and how they are applied to real world business situations. The student understands how to use data to gain meaningful insights and hidden information. The student understands the fundamentals of statistical analysis and is able to analyze data and apply appropriate statistical techniques.
Content
- Measures of central tendency - Measures of the spread - Variables and levels of measurement - Frequency tables - Graphs and shapes of shapes of distribution
Qualifications
no pre-requisites
Assessment criteria, satisfactory (1)
The student has achieved the course objectives fairly. The student will be able to identify, define and use the course subject area’s concepts and models. The student understands the criteria and principles of the expertise development.
Assessment criteria, good (3)
The student has achieved the course objectives well, even though the knowledge and skills need improvement on some areas. The student is able to define the course concepts and models and are able to justify the analysis. The student is able to apply his/her knowledge in leisure, study and work situations. The student understands the importance of expertise in the field of business and is able to analyze his/her own expertise.
Assessment criteria, excellent (5)
The student has achieved the objectives of the course with excellent marks. The student masters commendably the course subject area’s concepts and models. The student is able to make justified and fluent analysis and to present concrete development measures. The student is well prepared to apply his/her knowledge in leisure, study and work situations. The student is able to analyze the business sector expertise and the development of his/her own expertise.
Assessment criteria, approved/failed
The student has achieved the course objectives fairly. The student will be able to identify, define and use the course subject area’s concepts and models. The student understands the criteria and principles of the expertise development.