Wiki User
∙ 14y agoWhat type of data would need to be collected to conduct a test and why?
Wiki User
∙ 14y agoPercentage is not a data type. A percentage of something would need a floating point data type to store it. One of the following data types. float double long double (in gcc, not sure about other compiler systems)
# Do you need random access to the data? # Does the data need to be ordered? # Can there be duplicate entries? # Are you more interested in reading from or writing to the data structure? # Are you more interested in data access speed or data storage size?
A: They conduct equally in both direction so there is no need to indicate polarity
Whatever data you need. If you need the algorithm to operate with many different types of data, and you are programming in C++, you could use generic programming practices and use templates.
A data is classified as scientific if the cultivation came from a scientific process and research. This means the conclusion in every experiment is a scientific data or those that are taken to account before the experiment occurs.
We would need to know what data in order to respond to this question.
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No. If the information collected is categoric (qualitative) there will not be a mean.
In order to conduct a research data validation is very necessary. Without the authentic data validation research is incomplete and worthless.
What specific information do you need? Who are the intended participants for this data collection? What methods are you planning to use to collect the data? How will you ensure the accuracy and reliability of the data collected?
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.
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.
Scientists call information collected from observations data. Data can be qualitative (descriptive) or quantitative (numerical), and it is analyzed and used to draw conclusions or make predictions in scientific research.
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.
I need to conduct research to gather data for my thesis project.
You need to clarify the question. You could be talking about the nature of ordinal data in statistics. You could be referring to the demographic of race, or to data that are collected during a competitive race. Make the question clearer and we can attempt an answer.
Would you please indicate your area of interest when you resubmit your question.