There are always going to be slight variations when data is collected. If I asked a couple of people to find me the population of a town, one person may find a source that shows Heratunda has a population of 1,400 people and the other says there is 1,355 people.
The main point is that: different people are going to go to different sources in order to get the data.
(Heratunda is a made up place by the way)
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source documents are collected and converted into some convenient form processing
primary data is data which has been collected by yourself, which is more reliable and up to date. secondary data has been collected from a secondary source (Other people, business etc.) so it may not be valid or up to date
Primary data is data which has been collected by yourself, which is more reliable and up to date. Secondary data has been collected from a secondary source (Other people, business etc.) so it may not be valid or up to date."Primary" and "secondary" are terms used to define data relative to the purpose by which the data were collected originally."Primary data" are data collected for the need at hand."Secondary data" are data that were collected for another reason but is being re-purposed to address the need at hand.When describing the expertise of data analysts, it is not uncommon to distinguish between primary and secondary data analytics. Primary data analytics involves the ability to analyze data for the purpose by which it has been collected. Secondary data analytics involves identifying "secondary data sources" to solve a new problem and then the ability to re-purpose that data.Primary data is a data which is created for the first time and there is no previous source available. Secondary data is a readily available data like data from trade directories,statistics from websites etc. In Dissertation Literature review is done through secondary data which includes the contents such as theories, models, compilation, research findings by some other scholar etc.
1. You might miss spell something 2. One might record some data incorrectly 3. One might use the incorrect vocabulary
A statistician may have some idea about some statistics in a data set, and there is a need to test whether or not that hypothesis is likely to be true. Data are collected and a test statistic is calculated. The value of this test statistic is used to determine the probability that the hypothesis is true.