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Lista de candidatos sometidos a examen:
1) standard deviation (*)
(*) Términos presentes en el nuestro glosario de lingüística
1) Candidate: standard deviation
Is in goldstandard
1
paper CO_ColombianAppliedLinguisticsJournaltxt187 - : As mentioned above, in this study I set out to explore the feasibility and effectiveness of the recording and self-transcription task (Lynch, 2001, 2007; Mennim, 2003, 2012) as a route to noticing the gap and defossilization. Although I use some quantitative measures (mean, standard deviation), the research is essentially qualitative: (1 ) it is a multiple case study (20 students enrolled in an ELT education program at PUCV), so the results are not generalizable, and (2) it explores the participants' perceptions as to the impact of self-transcribing tasks. In the sense that the present study is the first phase of a planned future intervention as a response to a specific problem (fossilization), and the evaluation of that intervention, this study could also be said to fall under an action research paradigm (Boettinger, Park, & Timmis, 2010).
2
paper CO_ColombianAppliedLinguisticsJournaltxt130 - : By knowing how much scores vary from the mean on average, we can evaluate the degree to which a distribution is normal or whether it is skewed or not. A normally-distributed test whose mean is centered at 50% will have sufficient "room" for approximately three standard deviations on either side of the mean; this range of plus or minus three standard deviations accounts for 99.72% of the scores in a normal distribution. A distribution which does not have room for three standard deviations above the mean is negatively skewed, whereas a distribution which does not have room for three standards deviations below the mean is positively skewed. Furthermore, standard deviation is a tool for identifying the outlying scores within the data set: scores at a distance of more than three standard deviations from the mean are considered to be outliers as they are outside of the margin of 99 .72% of the data points.
Evaluando al candidato standard deviation:
3) deviations: 5
4) scores: 4
5) distribution: 3 (*)
standard deviation
Lengua: eng
Frec: 40
Docs: 22
Nombre propio: / 40 = 0%
Coocurrencias con glosario: 1
Puntaje: 1.739 = (1 + (1+3.70043971814109) / (1+5.35755200461808)));
Candidato aceptado