Why do you include an anomalous result in a piece of data
I really dont know
repeating it
Anomalous results are data points that deviate significantly from the expected pattern or trend in a dataset. These outliers can indicate errors in measurement, unique phenomena, or variability in the data. It is crucial to investigate these anomalies to determine their cause, as they may require correction, exclusion from analysis, or further exploration to gain insights. Proper treatment of anomalous results ensures the integrity and reliability of the overall analysis.
An anomalous phenomenon is a phenomenon which is not sufficiently explained by science or inferred knowledge.
firstly, you have to make sure the only variables are the ones you are monitoring. secondly, you could make sure that the equipment you are using are precise. thirdly, you could try repeating your experiment, and/or comparing results with others, to make sure your results are valid, and you could try omitting anomalous results
You should exclude the anomalous results when calculating an average.
If you are trying to spot an anomalous result from a graph, draw a line of best fit onto your graph, the anomalous result will be the result that is way off the line of best fit/ does not fit the pattern. If you are looking for an anomalous result within a table, the results should fall with in .1 of each other, if any of the figures do not, then they are the anomalies (anomalous results).
The results from the test are anomalous; they do not fit the pattern established in other tests.
I really dont know
Odd results in tables are called anomalous results.
repeating it
To exclude a keyword from a search result, you should use the minus sign (-) directly before the keyword you want to exclude. For example, if you're searching for information on cats but want to exclude results related to "dogs," you would enter "cats -dogs" in the search query. This tells the search engine to provide results that include "cats" while omitting any references to "dogs."
anomalous finite verbs
no, its meant to go through most of your points but ignoring the anomalous results
Anomalous results are data points that deviate significantly from the expected pattern or trend in a dataset. These outliers can indicate errors in measurement, unique phenomena, or variability in the data. It is crucial to investigate these anomalies to determine their cause, as they may require correction, exclusion from analysis, or further exploration to gain insights. Proper treatment of anomalous results ensures the integrity and reliability of the overall analysis.
Doctor's were concerned with the the patient's anomalous heart beat
When the results of a test are anomalous the procedure is usually repeated.Sleep walking is an anomalous behavior who's causes are not well understood