Second Course in Statistics, spring 2010
78207 Part 1: 5 cu
78208 Part 2: 5 cu
Basic studies (perusopinnot)
Introduction to Statistics (or equivalent)
Description of the course
A short description of the course is given here.
Time schedule (preliminary)
III ja IV period Mo 10-12 room CK111 (except on April 26) , Th 10-12 room C323 (both in Kumpula), exercises Thursday 12-14 room C123. Room for the lecture on the 26th of April will be announced here as soon as a suitable place has been found.
28.1. (Thu) + 1. exercises
4.2. (Thu) + 2. exercises
11.2. (Thu) + 3. exercises
18.2. (Thu) + 4. exercises
25.2. (Thu) + 5. exercises
4.3. (Thu) midterm exam Please note the time!
18.3. (Thu) + 6. exercises
25.3. (Thu) No exercises today.
8.4. (Thu) + 7. exercises
15.4. (Thu) 8. exercises. No lecture today.
19.4. (Mo) No lecture today.
22.4. (Thu) + 9. exercises
26.4. (Mo) lecture in BK106
29.4. (Thu) lecture in C323 + 10. exercises (in C123)
Please note the the updated time schedule of the course including a new day for the 2. exam.
4.3. (midterm exam) (Thu 9-12)
6.5. (final exam) (Thu 9-12; room C323)
12th set of lecture notes.
13th set of lecture notes.
14th set of lecture notes
15th set of lecture notes.
15-16th set of lecture notes; set I, 15-16th set of lecture notes; set II and 15-16th set of lecture notes; set III. (Updated 22nd of April!)
17th set of lecture notes.
18th set of lecture notes.
19th set of lecture notes and 19th set of lecture notes; set II.
20th set of lecture notes and 20th set of lecture notes; set II..
21st set of lecture notes.
22nd set of lecture notes.
23rd set of lecture notes.
7th set of exercises (week 12). Solutions for the 7th set of exercises
8th set of exercises (week 13). Solutions for the 8th set of exercises
9th set of exercises (week 16). Data set for the 9th set of exercises Solutions for the 9th set of exercises
10th set of exercises (week 17). Solutions for the 10th set of exercises
Mr. Ali Amiryousefi (Ali.Amiryousefi@Helsinki.FI) conducts the exercises.
On the law of large numbers
The central limit theorem and its animation
Convergence of the binomial distribution to the normal distribution or the bean machine
A more detailed explanation of the bean machine (updated on the 20th of March)
A real bean machine , another and a third and the quickest one
Sigificance testing in action (climate change example)
Did you forget to register? What to do.