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Our Rights, Our Story - Funky Dragon

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O U R R I G H T S O U R S T O R Y<br />

Confidence Level and Confidence Intervals<br />

When conducting quantitative research, most researchers use a confidence level to express<br />

how accurate the findings can be in relation to the rest of the population. For the National<br />

Survey we had 10,035 young people take part. There are 225 Secondary schools in Wales<br />

with a population of 215,000 pupils (General Statistics 2004-05 NAW). This figure means we<br />

have a confidence level of 95%.<br />

The confidence level tells us how sure we can be that the results reflect the target<br />

population. It is expressed as a percentage and represents how often the true percentage<br />

of the population who would pick an answer, lies within the confidence interval. A 95%<br />

confidence level means we can be 95% certain that if we went out to question all 215,000<br />

secondary school pupils in Wales we would have the same results as are contained in this<br />

report.<br />

"The confidence interval is the plus-or-minus figure usually reported in newspaper or<br />

television opinion poll results. For example, if you use a confidence interval of 4 and 47%<br />

percent of your sample picks an answer you can be "sure" that if you had asked the question<br />

of the entire relevant population between 43% (47-4) and 51% (47+4) would have picked<br />

that answer". http://www.surveysystem.com/sscalc.htm<br />

From our figures we have a confidence interval level of 1.26 – therefore we can be sure that<br />

if we asked the entire secondary school population of Wales a question where 8% of our<br />

sample answered yes, the result would be between 6.75% and 9.26% would have picked the<br />

same answer.<br />

http://www.surveysystem.com/sscalc.htm<br />

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