Publikation: Ways in which high-school students unde...
Stammdaten
Titel: | Ways in which high-school students understand the sampling distribution for proportions |
Untertitel: | |
Kurzfassung: | In Spain, curricular guidelines as well as the university-entrance tests for social-science high-school students (17–18 years old) include sampling distributions. To analyse the understanding of this concept we investigated a sample of 234 students. We administered a questionnaire to them and ask half for justifications of their answers. The questionnaire consisted of four sampling tasks with two sample sizes (n = 100 and 10) and population proportions (equal or different to 0.5) systematically varied. The experiment gathered twofold data from the students simultaneously, namely about their perception of the mean and about their understanding of variation of the sampling distribution. The analysis of students’ responses indicates a good understanding of the relationship between the theoretical proportion in the population and the sample proportion. Sampling variability, however, was overestimated in bigger samples. We also observed various types of biased thinking in the students: the equiprobability and recency biases, as well as deterministic pre-conceptions. The effect of the task variables on the students’ responses is also discussed here. |
Schlagworte: | Statistics education research; Sampling distribution; High-school students; Understanding of probability; Understanding of mean; Understanding of variability |
Publikationstyp: | Beitrag in Zeitschrift (Autorenschaft) |
Erscheinungsdatum: | 12.2020 (Online) |
Erschienen in: |
Statistics Education Research Journal
Statistics Education Research Journal
(
M. Borovcnik
)
zur Publikation |
Titel der Serie: | - |
Bandnummer: | 19 |
Heftnummer: | 3 |
Erstveröffentlichung: | Ja |
Version: | - |
Seite: | S. 32 - 52 |
Versionen
Keine Version vorhanden |
Erscheinungsdatum: | 12.2020 |
ISBN (e-book): | - |
eISSN: | 1570-1824 |
DOI: | - |
Homepage: | https://iase-web.org/Publications.php?p=SERJ_issues |
Open Access |
|
AutorInnen
Zuordnung
Organisation | Adresse | ||
---|---|---|---|
Fakultät für Technische Wissenschaften
Institut für Statistik
|
AT - 9020 Klagenfurt am Wörthersee |
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