Organic Data

These subjects are therefore regarded as observation units, cases or feature carrier. 3 the 500 units of observation of the organic farmer come from a defined set of all possible observation units (1,500 diabetics of the sales area of the farmer). Population, also called this quantity of all possible observation units. Statistical surveys such as the survey of the organic farmer’s are so used to gain information about a precisely defined amount of observation units. The organic farmer selects for his interview – so that his remains still viable – from the population according to certain criteria a number of people and makes its survey sampled in this way. The sample (500 test subjects sample size =) is a subset of the entire population and to a represent a true and fair image of the entire population. 4 the collected variables or characteristics can take on different values (= characteristic values). A measurement is the assignment of specific values for characteristics.

For example, the organic farmer questioned the willingness to pay A test person. Test person A gives as answer 2. During this process, the value 2 assigned to the characteristic willingness to pay and thus measured the willingness to pay of A test person. The organic farmer has received the readings of the willingness to pay than exact amounts. “” The organic farmer would have but also details how much”little” or no “can provoke.

“Even information such as a round amount” or an odd amount “would have been possible. Different statistical analysis with the data collected are possible depending on the type of the used measured values (data types). The possible data types are as follows structure: data types are nominal: values fall does not make sense (for example a round amount”, an odd) Amount”) data types are ordinal: values fall makes sense (” such as much, little”nothing”) data types are metric and fall make sense (such as numbers such as amounts or age).

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