3622111 Basic statistics in English, 5 Cp
Code 
3622111 
Validity 
01.01.1950 

Name 
Basic statistics in English 
Abbreviation 
BCS 
Credits  5 Cp 
Date of expiry 

Type  Multidisciplinary Studies 
Subject  0390 Statistics 
Class  Study Unit 
Hours 

Study right 

Grading  05 
Recommended scheduling  
 


 
Organisation 
Computer Science (J,K) 

Description
Learning outcomes 
The student understands the basic ideas of statistical analysis and inference, and is able to use the most simple analysis methods. The students has the basic knowledge to learn more advanced methods of statistics and data science. 
Content 
Basics of probability. Sampling distributions. Introduction to estimation and hypothesis testing. Inference on population mean and proportion. Analysis of twoway tables. Introduction to regression methods (Regression analysis, analysis of variance, logistic regression and mixedeffect models) 
Modes of study 
Selfstudy based on the webmaterial (113 h), lectures (2 h), contact teaching (16 h), lecture exam (4 h). Alternatively, course can be passed by taking an exam based on the course material in a general examination 
Teaching methods 
Student prepares for the weekly tutorials by (1) reading given material and watching videos at moodle, (2) doing a related weekly exam and (3) starting the weekly exercises. In tutorials there is also possibility to make some questions on weekly topics. The student (4) returns the weekly exercise report to moodle and, (5) after the submission deadline, reads the correct answers and selfevaluated his/her own report. Overall, the students need approximately 10 hours per week for the course, in addition to the 2 hour contact sessions. 
Study materials 
Lecture notes and other material available in Moodle.
Textbook: Moore, McCabe and Craig (2012): Introduction to the practice of statistics, 7^{th} edition. Selected parts of chapters 415. 
Evaluation criteria 
Grade 05. The grade is based either (1) on a weighted mean of weekly exercises, weekly exams and written exam or (2) on the written exam only, so that the grade is the better one out of these two. 
Prerequisites 
Basics of descriptive statistics and sampling. Students without these knowledge should read e.g. the first part of the textbook (Part 1 “Looking at data”, chapters 13). 
Time 
Fall semester. Exams will be arranged throughout the year 
Offering data 
Course is open to anyone. No restrictions in the number of participants. Useful also for PhD students who need statistical methods in their research. 
Further information 
Teaching language: English 

Letter (J, K) in front of the name of the course/exam indicates the campus on which teaching or exam takes place: J = Joensuu, K = Kuopio.
Present and future teaching
Future exams