290091 VU Introduction to Statistics (2023W)
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 Tu 19.12.2023 12:00 to Tu 02.01.2024 12:00
- Deregistration possible until Mo 08.01.2024 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
The first appointment on 8.1. takes place together with group 2 in the main building: lecture hall 32, 1st floor, staircase 9
The final test will take place on Wednesday, January 31, 2024 from 9:00 a.m. to 1:30 p.m. in one-hour time slots in the MM-Lab. Registration is via Moodle.
- Monday 08.01. 08:00 - 11:15 Hörsaal 32 Hauptgebäude, 1.Stock, Stiege 9
- Wednesday 10.01. 11:30 - 13:00 Hörsaal 4C Geographie NIG 4.OG C0409
- Thursday 11.01. 09:45 - 11:45 Multimedia Mapping-Labor, NIG 1.Stock C0110
- Monday 15.01. 09:45 - 11:15 Hörsaal 4C Geographie NIG 4.OG C0409
- Wednesday 17.01. 11:30 - 13:00 Multimedia Mapping-Labor, NIG 1.Stock C0110
- Thursday 18.01. 09:45 - 11:45 Multimedia Mapping-Labor, NIG 1.Stock C0110
- Monday 22.01. 09:45 - 11:15 Hörsaal 4C Geographie NIG 4.OG C0409
- Wednesday 24.01. 11:30 - 13:00 Hörsaal 4C Geographie NIG 4.OG C0409
- Thursday 25.01. 09:45 - 11:45 Multimedia Mapping-Labor, NIG 1.Stock C0110
- Thursday 08.02. 09:00 - 10:30 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
The first appointment on 8.1. takes place together with group 1 in the main building: lecture hall 32, 1st floor, staircase 9
The final test will take place on Wednesday, January 31, 2024 from 9:00 a.m. to 1:30 p.m. in one-hour time slots in the MM-Lab. Registration is via Moodle.
- Monday 08.01. 08:00 - 11:15 Ort in u:find Details
- Wednesday 10.01. 13:15 - 14:45 Hörsaal 4C Geographie NIG 4.OG C0409
- Thursday 11.01. 09:45 - 11:45 Ort in u:find Details
- Monday 15.01. 11:30 - 13:00 Hörsaal 4C Geographie NIG 4.OG C0409
- Wednesday 17.01. 13:15 - 14:45 Multimedia Mapping-Labor, NIG 1.Stock C0110
- Thursday 18.01. 09:45 - 11:45 Ort in u:find Details
- Monday 22.01. 11:30 - 13:00 Hörsaal 4C Geographie NIG 4.OG C0409
- Wednesday 24.01. 13:15 - 14:45 Hörsaal 4C Geographie NIG 4.OG C0409
- Thursday 25.01. 09:45 - 11:45 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: Mo 22.01.2024 14:26
... 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.In the lecture units, the theory is discussed using examples generated with the data sets. For the exercises part videos will be provided. You can therefore complete these exercises at your own pace at home on your own computer or in the computer rooms of the university.Excel is used as the program package. The program should be available on your computer by the beginning of January at the latest. Alternatively, the program is also available on all computers in the computer rooms of the University of Vienna.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 will be provided via tutorials.