Statistics Ib
Faculteit | Gedrags- en MaatschappijWetenschappen |
Jaar | 2022/23 |
Vakcode | PSBE1-09 |
Vaknaam | Statistics Ib |
Niveau(s) | bachelor |
Voertaal | Engels |
Periode | semester I b |
ECTS | 5 |
Rooster | rooster.rug.nl |
Uitgebreide vaknaam | Statistics Ib | ||||||||||||||||
Leerdoelen | After the course, the student knows: - the basic logic of classical statistical inference, - for a given basic research design, what statistical procedures to apply, - the mechanics of simple statistical procedures for simple designs, - the assumptions underlying these statistical procedures, - procedures to apply if these assumptions are suspected to be false, - how to avoid common conceptual errors about statistical inference, - the drawbacks of classical statistical inference, - can apply inferential statistics for means and proportions, - can interpret reported results of statistical procedures on means and proportions - how to make all calculations by hand without a formula card - to interpret output from statistical software programs SPSS, R, or comparable programs |
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Omschrijving | In science, we are often concerned with large populations. For instance, an ecologist might wonder what proportion of the population of a particular plant is afflicted by a disease, a political scientist might wonder what proportion of people in a given country endorse a particular attitude, and a psychologist might wonder whether the population of children that participate in a reading intervention subsequently have improved reading ability. In real life, however, we have to settle for small samples from the population, because testing an entire population is often not feasible. Statistics is the study of how one draws inferences from a sample, which we observe, to a population, which we cannot observe. Statistics is therefore the primary way by which scientists obtain knowledge in the sciences. Statistics 1B introduces students to foundational ideas of statistical inference: how can we test a hypothesis about populations? How can we estimate means of populations? How can we quantify our uncertainty about the population, given our sample? Statistics 1B lays the foundation for students to understand how statistical inference happens in practice. | ||||||||||||||||
Uren per week | 6 | ||||||||||||||||
Onderwijsvorm |
computerpracticum, hoorcollege
((4 hours lecture and 2 hours practicum)) |
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Toetsvorm | practicum, schriftelijk tentamen (meerkeuze) | ||||||||||||||||
Vaksoort | bachelor | ||||||||||||||||
Coördinator | dr. L.F. Bringmann | ||||||||||||||||
Docent(en) | dr. L.F. Bringmann | ||||||||||||||||
Verplichte literatuur |
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Entreevoorwaarden | |||||||||||||||||
Opmerkingen | The literature will be announced at least 3 weeks before the start of statistics 1b on Nestor (i.e., Student portal). For students who already did the course and have already a book: we are using an edition of Moore, McCabe & Craig (Introduction to the practice of statistics; in principle any edition from the 7th and up can be used). (Not accessible to external students) |
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Opgenomen in |
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