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Raw data would be the basic numbers and details collected from research without any manipulations. I.E. It is the "input" for any statistical calculations. However, with justification, certain anomalies can be removed from a data set before performing calculations, or subjects might be excluded if they do not meet certain predefined criteria.
primary information is the information/data that you collected and secondary information is the data/information that is collected by someone else but you are using it.
The data collected does not have to be measurable.
In continuous grouped data the data is collected continuously and in groups. Data collected is in class intervals the actual data values are not visible.
how is data collected and used for the purpose of national statistics
Calculations or comparisons made using the collected data
Data can be collected for nutritional info, weight, differences within the cereal, price, comparisons to other cereals or brands, etc.
Raw data would be the basic numbers and details collected from research without any manipulations. I.E. It is the "input" for any statistical calculations. However, with justification, certain anomalies can be removed from a data set before performing calculations, or subjects might be excluded if they do not meet certain predefined criteria.
primary information is the information/data that you collected and secondary information is the data/information that is collected by someone else but you are using it.
Finding the average from the raw data requires a lot more calculations. By using frequency distributions you reduce the number of calculations.
Before setting up a database the data must be collected. This can be done using a data capture form.
Any kind of data can be collected.
The data collected does not have to be measurable.
Data that is collected may have been collected previously for some reason, or it might have been collected recently. Data is usually collected to show statistics or information about something specific.
Secondary use is using data for a purpose other than the purpose it was collected for.
Scientists collect data, in all sorts of ways using computer models math observing data, it all depends what kind of scientist.
Direct data capture is the collection of data for a particular purpose (e.g. barcodes being read at a supermarket so that the product can be identified or account details being read directly from the chip embedded in the credit card.) Indirect data capture is the collection of data as a by-product from data collected for another purpose (e.g. using data collected from reading barcodes at a supermarket till to work out the stock levels or using data collected from reading barcodes to see whether an item is selling well.)