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Statistical data refers to data being taken from someone elses findings

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Q: What is secondary data in statistics?
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What is existing statistics?

secondary data source on which you rely on what other people have already published about the topic at hand.


3 ways of presenting data in statistics?

ways of presenting data in statistics


What are the different between primary data and secondary data?

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.


Why it is said all statistics are data but all data are not statistics?

All statistics are data because all statistics are formed of numbers and numbers are a type of data (numrical). But not all data is statistics because not all data is numbers, it can also be words, pictures etc. It's like saying all apples are fruit but all fruit are not apples.


Advantage disadvantage of secondary Data?

Advantages to the secondary data collection method are - 1) it saves time that would otherwise be spent collecting data, 2) provides a larger database (usually) than what would be possible to collect on ones own However there are disadvantages to the fact that the researcher cannot personally check the data so it's reliability may be questioned. See: http://en.wikipedia.org/wiki/Secondary_data The link above is primarily on the use of secondary data for purposes of calculating statistics. In this electronic age, secondary data is disseminated very rapidly, such as credit card or employment history. You may want to browse the internet about problems when personal secondary data is widely available.

Related questions

Types of secondary data?

Newspaper Articles Web Sites Text Books Statistics


What is existing statistics?

secondary data source on which you rely on what other people have already published about the topic at hand.


What are the merits and demerits of primary and secondary source of data in statistics?

Reliable and comprehensive statistics can be very expensive to collect and process. You may not have the authority to force compliance and so your data may have serious gaps. These pitfalls can be avoided if there are suitable secondary statistics that have already been compiled. However, you may not know exactly how the statistics were compiled and processed so may not fully know what they represent. Also, they may not measure exactly what you want or may not be based on the exact target population. These demerits can be overcome by collecting the statistics yourself.


What are difference between primary and secondary data?

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.


3 ways of presenting data in statistics?

ways of presenting data in statistics


What are the different between primary data and secondary data?

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.


What are cases in statistics?

In statistics, cases are comprised of the data that is being studies. The cases in statistics can be updated frequently as the data changes.


What are tools use in sociological enquiry?

Different sources of information; primary and secondary data; official and other statistics; published studies and different source of evidences.


What are descriptive statistics and inferential statistics?

Descriptive statistics is a summary of data. Inferential statistics try to reach conclusion that extend beyond the immediate data alone.


What is external secondary data?

External secondary data - data that is obtained outside the firm itself.


How many churches are there in Oxford?

Data gathered from official Statistics Some important notes: - The data for England includes both Maintained (state) and Independent (private) schools - In Scotland, Wales and Northern Ireland, the Independent Schools are counted separately, but the statistics make no distinctions between primary and secondary Independent Schools ---- Data as of January 2006 Primary Schools (includes Middle Schools as deemed): 17,504 Secondary Schools (includes Middle Schools as deemed): 3,367 Data as of 2005 Primary Schools: 2,194 Secondary Schools: 385 Independent Schools: 152 Data as of 2004/2005 Primary Schools: 1,572 Secondary Schools: 227 Independent Schools: 58 Data as of 2005/2006 Primary Schools: 886 Secondary (non grammar) Schools: 161 Grammar Schools: 69 Independent Schools: 19


Why it is said all statistics are data but all data are not statistics?

All statistics are data because all statistics are formed of numbers and numbers are a type of data (numrical). But not all data is statistics because not all data is numbers, it can also be words, pictures etc. It's like saying all apples are fruit but all fruit are not apples.