it is quantitative
false
The fact that the data is qualitative or quantitative does not in and of itself have anything to do with its reliability.
A reliable investigation will allow you to make conclusions that are supported by the data you have collected,and that reflect the findings of other scientists.
When we call data biased, we mean that someone has been dishonest because they seek some personal gain by having data interpreted in a certain way. For example, manufacturers of cigarettes used to concoct supposedly scientific studies proving that cigarettes are perfectly safe to smoke, if not actually beneficial to your health, which we now know is a lie. That is biased data. Reliable data is data that is based on the most accurate and honest observations of which we are capable.
Among other things, it must be based on reliable data and repeatable experimental results.
what are three features of reliable data?
Primary data can be slow to acumulate, and is also relatively expensive. Secondary data is faster and often free of charge, but you must ensure that the source from which you take your data is reliable.
Because scientists want to obtain correct, sure, reliable experimental data.
It is data you can trust
Treatment of data involves data collection, data organization, and testing. Sources of data must be reliable and dependable. The kind of treatment depends on the type of experiment one intends to perform and the end result.
Reliable data is trusted data that can be used without doubt. Replicable data is data that is allowed to be copied or can be duplicated.
it is quantitative
A reliable data transfer is one that is stable . For a reliable data transfer a connection oriented protocol is used. A connection oriented protocol is one that receives acknowledgement from the receiver before sending the further data.
it is quantitative
It is better than keeping unreliable data!
data integrity