Study Guide

Objective

You are able to solve basic probability and statistical problems. You know basic sampling methods and how to analyse data with them.

Content

Sampling methods
Location measures
- Mean
- Median
- Mode
Statistical dispersion
- Standard deviation
- Range
- Interquartile range
- Variance
Regression and correlation
Probability

Exam schedules

Midterm exams are agreed on the lessons depending on the progress of the course.

There are 4 mandatory Excel-assingments to return.

Final exam on April 2023 according to the study plan.

It is possible to resit the exam with the same course content on 11.5.2023. The exam resit for the course are announced on Moodle.

This course can't be done on EXAM-environment.

Completion alternatives

The course can be done also by attending to final exam on spring 2023.

Student workload

Lessons and exams 36,5 hours

Self-learning about 98,5 hours

Total 135 hours

One academic credit equals about 27 hours of work for student.

Evaluation scale

H-5

Assessment methods and criteria

Evaluation is based on the exams, specified exercises and assignments announced by the teacher on the lessons and on Moodle. If the student's total amount of points is
- less than 35 % of maximum: grade 0 (fail)
- 35 - 48 % of maximum: grade 1
- 49 - 62 % of maximum: grade 2
- 63 - 76 % of maximum: grade 3
- 77 - 90 % of maximum: grade 4
- more than 90 % of maximum: grade 5.

Assessment criteria, fail (0)

The student has difficulties to read statistical texts and to recognize basic expressions in statistics and probability

There are difficulties to use basic mathematical tools

The student is unable to apply mathematics

Less than 35 % of points from exams and other exercises or assignments

Assessment criteria, satisfactory (1-2)

The student knows basic expressions in statistics and probability and can easily read statistical texts

The student is able to use basic mathematical tools

The student is able to apply basics on easy applications

Grade 1: 35 - 48 % of points from exams and other exercises or assignments

Grade 2: 49 - 62 % of points from exams and other exercises or assignments

Assessment criteria, good (3-4)

The student is able to read statistical texts and uses expressions in statistics and probability

The student is able to use mathematical tools

The student is able to apply mathematics on applications

Grade 3: 63 - 76 % of points from exams and other exercises or assignments

Grade 4: 77 - 90 % of points from exams and other exercises or assignments

Assessment criteria, excellent (5)

The student is able to read fluently statistical texts and uses difficult expressions in statistics and probability

The student is able to use difficult mathematical tools

The student is able to apply mathematics fluently on applications

More than 90 % of points from exams and other exercises or assignments