Course syllabus - Statistics for business

Objectives

The course is aimed at shaping the attitudes of learners regarding the field of Statistics, equipping students with a fundamental knowledge of statistics, and establishing an understanding of the usefulness and limitations of statistical analysis. This means that the course targets to enhance students' knowledge on statistical concepts, analytic methods, interpretation of results, and skills in using statistical software.

Learning outcomes

1. Understanding 
a) Demonstrate an understanding of and the differences between descriptive and inferential statistics 
b) Discuss the usefulness and limitations of statistics. 

2. Skills  
a) Use statistical software to perform statistical analysis. 
b) Calculate measures of centrality and dispersion. 
c) Use figures and tables to illustrate data properties. 
d) Solve basic problems in probability. 
e) Develop and conduct confidence interval estimations and basic hypothesis testing. 
f) Calculate measures of linear relationships. 

3. Abilities 
a) Interpret and analyze measures of centrality and dispersion. 
b) Interpret and evaluate statistical information using figures and tables. 
c) Appreciate the meaning of different types of probability calculations. 
d) Interpret and evaluate different measures of linear relationships.

Course content

The course introduces statistical concepts and statistical analyses by focusing on descriptive statistics, probability calculations and inferential statistics. As such, the course gives an introduction to applied statistics in a business context.

Tuition

Lectures and labs

Requirements

Basic eligibility and English 6, Mathematics 3b or 3c or Mathematics C

Examination

LAB1, 1 hp, grade Excellent (A), Very good (B), Good (C), Satisfactory (D), Sufficient (E), Insufficient, complementary work possible (Fx), Insufficient (F)  (Learning outcome 2a, 2b, 2c, 3a, 3b) 
LAB2, 1 hp, grade Excellent (A), Very good (B), Good (C), Satisfactory (D), Sufficient (E), Insufficient, complementary work possible (Fx), Insufficient (F)  (Learning outcome 1a, 2a, 2d, 2e, 3a, 3c) 
LAB3, 1 hp, grade Excellent (A), Very good (B), Good (C), Satisfactory (D), Sufficient (E), Insufficient, complementary work possible (Fx), Insufficient (F)  (Learning outcome 1a, 2e, 2f, 3d) 
TEN1, 4,5 hp, grade Excellent (A), Very good (B), Good (C), Satisfactory (D), Sufficient (E), Insufficient, complementary work possible (Fx), Insufficient (F)  (Learning outcome 1 a-b, 2 b-f, 3 a-d).

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

AF-skala

Interim Regulations and Other Regulations

Overlap with STA101, STA102, STA103 and STA104 7,5 hp.