Tilastotieteen Perusteet (Introduction to Statistics)

Results of the 2nd midterm exam: click here (Password required)
The password is the same as for the first midterm exam. The results for the final exams of those students who have not passed the 1st midterm exam will be published in WebOodi only.
Note: In the retakes you will have to answer the questions of both part A and part B, regardless of your result in the first midterm exam.

Code: STAT.1030

Credit units: 5 ECTS credits (3 ov)

Teacher: Lecturer Bernd Pape

Teaching: 36h Lectures and 18h Exercises.

Language of Instruction: Finnish (Lectures, Exercises and Exams)

Schedule for the Lectures: weeks 36-41, 43-45
Thursdays 10-12h in F141 (except week 38 in F118, week 39 9-11h in B201)
Fridays 10-12h in F118 (except weeks 40-41 in F141)

Schedule for the Exams:
Tuesday, 25.10.2011, 9-11h: 1st Mid term exam in A202 (no registration required)
Friday, 09.12.2011, 12-15h: Final exam + mid term exam (part 2) (registration in Weboodi)
The schedule for the retakes will be published in WebOodi.

Schedule for the Exercise Groups: (weeks 37-42, 44-46)
Group 1: Tuesdays 08.30-10h in D102
Group 2: Tuesdays 10-12h in D102
Group 3: Tuesdays 12-14h in D102
Group 4: Wednesdays 10-12h in D102
Group 5: Wednesdays 12-14h in D102 (except weeks 45-46 in D103)
Group 6: Wednesdays 08-10h in D102

Requirements for the credit units: Active Participation in the exercise groups and exam (Mid term + final exam or retakes). I will not grade your exam if you haven't participated actively in at least 7 of the nine exercise sessions. Active participation means that you show up on time and have at least one of the assignments of that week prepared for presentation in class. Please bring a photo-ID (eg. student card) with you to confirm your identy. Sessions from earlier academic years cannot be transferred to count for this year.

Course objective: Provide the student with sufficient skills to apply statistical presentation methods. Introduce the student to descriptive statistics, probability calculus, and hypothesis testing.

Contents: Descriptive Statistics, Probability Calculus, Correlation and Regression, Sampling Methods, Statistical Inference.

Lecture Notes:
English slides to be used in the lectures:
Chap. 0-1: Mathematical Tools, Introduction
Chapter 2: Data and Measurement
Chap. 3.1-3.3.0: Grouping Data and Graphical Representation
Chapter 3.3.1: Measures of Location
Chap. 3.3.2-3: Measures of Variability and Shape
Chapter 4.1: Contingency Tables
Chap. 4.2-4: Correlation and Regression
Chap. 5.1-3: Combinatorics, Probability, Independence, Bayes
Chapter 6.1: Random Variables
Chapter 6.2: Discrete Probability Distributions
Chapter 6.3: Continuous Probability Distributions
Chapter 7: Data Collection
Chapter 8.1: Point Estimation, Confidence Intervals
Chapter 8.2: Hypothesis Testing
For the mostly corresponding lecture notes in Finnish by Christina Gustafsson click here.

Statistical Formulas and Tables:
Click here for a collection of statistical formulas and tables by Christina Gustafsson, which may and should be brought to the exam.

Assignments:
Exercise Sheet 1 (week 37)
Exercise Sheet 2 (week 38)
Exercise Sheet 3 (week 39)
Exercise Sheet 4 (week 40)
Exercise Sheet 5 (week 41)
Exercise Sheet 6 (week 42)
Exercise Sheet 7 (week 44)
Exercise Sheet 8 (week 45)
Exercise Sheet 9 (week 46)

Optional Additional Assignments: Click here.

Course literature:
Aczel, A.D.: Complete Business Statistics, McGraw-Hill;

Additional reading:
Moore/McCabe: Introduction to the Practice of Statistics, Freeman;
Milton/Arnold: Introduction to Probability and Stochastics, McGraw-Hill;
Andy Field: Discovering Statistics Using SPSS, Sage;
Matti Grönroos: Johdanto Tilastotieteeseen, Finn Lectura.