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Ikona obiektów IMPORTANT:

After you’ve decided which survey method to use you need to consider the sample of respondents. Your sample can be a selection of people grouped by a characteristic such as type of school, area, age, sex or course; or they could be chosen at random to typify the “unidentified population”.

The next step requires choosing the number of survey respondents that you need

RULE[1]

The larger your sample size, the more sure you can be that their answers truly reflect the population. This indicates that for a given confidence level, the larger your sample size, the smaller your confidence interval. However, the relationship is not linear (i.e., doubling the sample size does not halve the confidence interval)

The confidence interval (also called margin of error) is the plus-or-minus figure usually reported in newspaper or television opinion poll results.

The confidence level tells you how sure you can be. It is expressed as a percentage and represents how often the true percentage of the population who would pick an answer lies within the confidence interval.



[1] http://www.surveysystem.com/sscalc.htm#one