Proven data is often referred to as "validated data" or "verified data." This type of data has undergone a rigorous process of testing and confirmation to ensure its accuracy and reliability. In research and scientific contexts, it may also be called "empirical data," as it is derived from observation or experimentation.
it tells the reader what is has happened or been proven by representing data
its called data redundancy.
A theory has been proven and has lots of data to back it up while a hypothesis is simply an educated guess that has some data to back it up.
the data which is accepted is called ACCEPT DATA!
No. The null hypothesis is not considered correct. It is an assumption, and hypothesis testing is a consistent meand of determining whether the data is sufficiently strong to say that it may be untrue. The data either supports the alternative hypothesis or it fails to reject it. See examples in links. Also note this quote from Wikipedia: "Statistical hypothesis testing is used to make a decision about whether the data contradicts the null hypothesis: this is called significance testing. A null hypothesis is never proven by such methods, as the absence of evidence against the null hypothesis does not establish it."
Well yeah. Its called a theory because it wasn't proven right yet. Once proven right, its called a fact.
False.
The information collected from an observation is called data.
Facts are pieces of information that can be proven true or valid, while figures and other evidence gathered through observation are known as data or empirical evidence. These data points help support or refute various claims or hypotheses.
Observations that describe have various names based on the context, such as facts, data, evidence, or findings. They provide information, details, or characteristics about a particular subject or situation.
theorm
it tells the reader what is has happened or been proven by representing data
Data about data are called metadata. See the related question "What are metadata?" for more details.
When it's been proven - by research and testing with sample data.
Data, raw information, is needed to answer any question. Facts, things proven to be true, are needed to answer any question.
This piece of data is called an "argument".
its called data redundancy.