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290091 VU Introduction to Statistics (2022W)
Continuous assessment of course work
Labels
Summary
Registration/Deregistration
Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).
- Registration is open from Mo 19.12.2022 12:00 to Mo 02.01.2023 12:00
- Deregistration possible until Th 05.01.2023 12:00
Registration information is available for each group.
Groups
Group 1
Nur für Studierende im Bachelor Geographie 2016.
VU wird geblockt im Jänner abgehalten. Die Lehrveranstaltung können Sie bereits im 1. Semester besuchen, wenn Sie die StEOP vollständig im Dezember absolviert haben.
Die Anmeldephase findet im Dezember statt.
VU wird geblockt im Jänner abgehalten. Die Lehrveranstaltung können Sie bereits im 1. Semester besuchen, wenn Sie die StEOP vollständig im Dezember absolviert haben.
Die Anmeldephase findet im Dezember statt.
max. 40 participants
Language: German
LMS: Moodle
Lecturers
Classes (iCal) - next class is marked with N
Calendar week (CW) 2
Monday 09.01.2023 08:00 - 11:15 - Introduction
Wednesday 11.01.2023 15:00 - 16:30: Exercise 1
Friday 13.01.2023 13:00 - 16:00: Tutorial for introduction and exercise 1 (optional)
Monday 16.01.2023 08:30 - 10:00: Exercise 2
Wednesday 18.01.2023 15:00 - 16:30: Exercise 3
Friday 20.01.2023 13:00 - 16:00: Tutorial for exercise 2 and 3 (optional)WEEK 4
Monday 23.01.2023 08:30 - 10:00: Exercise 4
Wednesday 25.01.2023 15:00 - 16:30: Exercise 5
Friday 27.01.2023 13:00 - 16:00: Tutorial for Exercises 4 and 5 (optional)WEEK 5
Monday 30.01.2023 08:00 - 14:00: Final exam (in groups of 1,5h each)WEEK 6
Monday 06.02.2023 10:00 - 12:00: Final exam - repetition date
- Monday 09.01. 08:00 - 11:15 Hörsaal 4C Geographie NIG 4.OG C0409
- Wednesday 11.01. 15:00 - 16:30 Multimedia Mapping-Labor, NIG 1.Stock C0110
- Friday 13.01. 13:00 - 16:00 Multimedia Mapping-Labor, NIG 1.Stock C0110
- Monday 16.01. 08:30 - 10:00 Multimedia Mapping-Labor, NIG 1.Stock C0110
- Wednesday 18.01. 15:00 - 16:30 Multimedia Mapping-Labor, NIG 1.Stock C0110
- Friday 20.01. 13:00 - 16:00 Multimedia Mapping-Labor, NIG 1.Stock C0110
- Monday 23.01. 08:30 - 10:00 Multimedia Mapping-Labor, NIG 1.Stock C0110
- Wednesday 25.01. 15:00 - 16:30 Multimedia Mapping-Labor, NIG 1.Stock C0110
- Friday 27.01. 13:00 - 16:00 Multimedia Mapping-Labor, NIG 1.Stock C0110
- Monday 30.01. 08:30 - 10:00 Multimedia Mapping-Labor, NIG 1.Stock C0110
- Monday 06.02. 10:00 - 12:00 Multimedia Mapping-Labor, NIG 1.Stock C0110
Assessment and permitted materials
Attendance and participation (15%)
Individual exercises (35%)
Final exam (50%): On the computer in the PC room. MC questions plus open questions.
Individual exercises (35%)
Final exam (50%): On the computer in the PC room. MC questions plus open questions.
Minimum requirements and assessment criteria
Grading is based on the awarding of points. The maximum number of points that can be achieved is 100 points.To be positive, all of the following minimum requirements must be met:
- Ongoing attendance (maximum of 4 SWS absences),
- Submission of 5 individual practice assignments,
- Minimum 15 points on the practice assignments,
- Minimum of 25 points on the final exam,
- Minimum 55 points for the course overall.Grading Key
' >=85 points: very good (S1)
75<85 points: good (G2)
65<75 points: satisfactory (B3)
55<65 points: sufficient (U4)
< 55 points: not sufficient (N5)
- Ongoing attendance (maximum of 4 SWS absences),
- Submission of 5 individual practice assignments,
- Minimum 15 points on the practice assignments,
- Minimum of 25 points on the final exam,
- Minimum 55 points for the course overall.Grading Key
' >=85 points: very good (S1)
75<85 points: good (G2)
65<75 points: satisfactory (B3)
55<65 points: sufficient (U4)
< 55 points: not sufficient (N5)
Group 2
Nur für Studierende im Bachelor Geographie 2016.
VU wird geblockt im Jänner abgehalten. Die Lehrveranstaltung können Sie bereits im 1. Semester besuchen, wenn Sie die StEOP vollständig im Dezember absolviert haben.
Die Anmeldephase findet im Dezember statt.
VU wird geblockt im Jänner abgehalten. Die Lehrveranstaltung können Sie bereits im 1. Semester besuchen, wenn Sie die StEOP vollständig im Dezember absolviert haben.
Die Anmeldephase findet im Dezember statt.
max. 40 participants
Language: German
LMS: Moodle
Lecturers
Classes (iCal) - next class is marked with N
Calendar week (CW) 2
Monday 09.01.2023 08:00 - 11:15 - Introduction
Wednesday 11.01.2023 15:00 - 16:30: Exercise 1
Friday 13.01.2023 13:00 - 16:00: Tutorial for introduction and exercise 1 (optional)
Monday 16.01.2023 08:30 - 10:00: Exercise 2
Wednesday 18.01.2023 15:00 - 16:30: Exercise 3
Friday 20.01.2023 13:00 - 16:00: Tutorial for exercise 2 and 3 (optional)WEEK 4
Monday 23.01.2023 08:30 - 10:00: Exercise 4
Wednesday 25.01.2023 15:00 - 16:30: Exercise 5
Friday 27.01.2023 13:00 - 16:00: Tutorial for Exercises 4 and 5 (optional)WEEK 5
Monday 30.01.2023 08:00 - 14:00: Final exam (in groups of 1,5h each)WEEK 6
Monday 06.02.2023 10:00 - 12:00: Final exam - repetition date
- Monday 09.01. 08:00 - 11:15 Ort in u:find Details
- Wednesday 11.01. 17:00 - 18:30 Multimedia Mapping-Labor, NIG 1.Stock C0110
- Friday 13.01. 13:00 - 16:00 Ort in u:find Details
- Monday 16.01. 10:30 - 12:00 Multimedia Mapping-Labor, NIG 1.Stock C0110
- Wednesday 18.01. 17:00 - 18:30 Multimedia Mapping-Labor, NIG 1.Stock C0110
- Friday 20.01. 13:00 - 16:00 Ort in u:find Details
- Monday 23.01. 10:30 - 12:00 Multimedia Mapping-Labor, NIG 1.Stock C0110
- Wednesday 25.01. 17:00 - 18:30 Multimedia Mapping-Labor, NIG 1.Stock C0110
- Friday 27.01. 13:00 - 16:00 Ort in u:find Details
- Monday 30.01. 10:30 - 12:00 Multimedia Mapping-Labor, NIG 1.Stock C0110
- Monday 06.02. 10:00 - 12:00 Ort in u:find Details
Assessment and permitted materials
Attendance and participation (15%)
Individual exercises (35%)
Final exam (50%): On the computer in the PC room. MC questions plus open questions.
Individual exercises (35%)
Final exam (50%): On the computer in the PC room. MC questions plus open questions.
Minimum requirements and assessment criteria
Grading is based on the awarding of points. The maximum number of points that can be achieved is 100 points.To be positive, all of the following minimum requirements must be met:
- Ongoing attendance (maximum of 4 SWS absences),
- Submission of 5 individual practice assignments,
- Minimum 15 points on the practice assignments,
- Minimum of 25 points on the final exam,
- Minimum 55 points for the course overall.Grading Key
' >=85 points: very good (S1)
75<85 points: good (G2)
65<75 points: satisfactory (B3)
55<65 points: sufficient (U4)
< 55 points: not sufficient (N5)
- Ongoing attendance (maximum of 4 SWS absences),
- Submission of 5 individual practice assignments,
- Minimum 15 points on the practice assignments,
- Minimum of 25 points on the final exam,
- Minimum 55 points for the course overall.Grading Key
' >=85 points: very good (S1)
75<85 points: good (G2)
65<75 points: satisfactory (B3)
55<65 points: sufficient (U4)
< 55 points: not sufficient (N5)
Information
Aims, contents and method of the course
Examination topics
Exercises with Excel on the different methods.Final exam on theoretical and methodological basics as well as on the interpretation of results.
Reading list
Duller C. (2013): Einführung in die Statistik mit Excel und SPSS. Ein anwendungsorientiertes Lehr- und Arbeitsbuch.
Walford N. (2011): Practical Statistics for Geographers and Earth Scientists.
Zimmermann-Janschitz S. (2014): Statistik in der Geographie. Eine Exkursion durch die descriptive Statistik.
Walford N. (2011): Practical Statistics for Geographers and Earth Scientists.
Zimmermann-Janschitz S. (2014): Statistik in der Geographie. Eine Exkursion durch die descriptive Statistik.
Association in the course directory
(BA GG 5.1)
Last modified: Th 11.05.2023 11:28
... know central methods and differences of data collection, sampling, and data summarization in physio- and human-geographical research.
... master the most important functionalities necessary for statistical data analysis with Excel.
... can adequately prepare data for uni- and bivariate analyses in Excel.
... are able to summarize data sets using univariate and bivariate descriptive statistics and prepare them in the form of simple tables, charts and graphs (in Excel).
... know the role of sampling error in hypothesis testing and can perform T-test, analysis of variance and chi-square test.
... can interpret the results correctly and summarize them in a linguistically understandable way.Method: Blocked course with integration of lecture and exercise parts. Parallel processing of a physio- as well as a human-geographically relevant data set.
The exercises will be done on the PC in the GIS-Lab. Excel will be used as the program package.
The central functionalities of Excel will be taught in a tutorial during the first week.To consolidate what has been learned, independent exercise work (homework) is to be handed in.
Additional support for the implementation: script as well as tutorials.