The process is called peer review. Peers review the data and the experiment that was done in order to access its validity.
Use it in a question... 'Could I have done better ?' - or - in a statement...'I could have done better.'
Even though both data compression and encryption are methods that transform data in to a different format, the golas tried to achieve by them are different. Data compression is done with the intension of decreasing the size of data, while encryption is done to keep the data secret from third parties. Encrypted data cannot be decrypted easily. It requires the possession of a special piece of information called a key. Uncompressing compressed data do not require such special knowledge (such as a key), but it might require some special hardware depending on the data type.
My hypothesis was correct when my experiment was done and my data was repeatable.
Measurements are an example of collecting data. Measurements are usually done to aid in the research of an object or subject and in calculating it's mass or quantity.
Causal validity is also referred to as internal validity. It refers to how well experiments are done and what we can infer from those results.
stop eating them.
It can be done by increasing the temperature. Also can be done by powdering the solid.
increase regulations on industry
Just heat it up.
The process is called peer review. Peers review the data and the experiment that was done in order to access its validity.
An increase of temperature is sufficient.
The process called by which scientists check each others work is known as Peer Review.
It could be a different answer in different situations. It could be a range if it was data being selected to have a calculation done on them. It could be a series in the context of creating a chart or when data is being filled in an AutoFill situation. It could be a record in the context of data being in a table in a database style.
Could you elaborate what kind of data you mean? Testing data? Electronic data? What do you mean with quality? Your question is hard to read because it does not state what direction the reader should look.
Increase voltage on both ends. Including that being sensed.
Data warehouse is a large repository of data. The data may or may not be of any use. Partitioning in Data warehouse can be done by forming clusters and then forming groups.Partitioning in datawarehouse can be done by forming clusters. Partitioning can be done on the basis of relation between the data.