0
What else can I help you with?
What is hypothesis that is not supported by the data that has been collected and analyzed?
It is inaccurate.
What are some ways in which data collected may be inaccurate?
data could be entered inaccurately because of:human errornatural disasters
What is the use of data verification in database?
A database is only as useful as the data contained within it. Without data validation, inaccurate, invalid, obsolete or inconsistent data can be stored within the data tables leading to problems when the data is queried and analyzed.
What's the percentage of cheating couples?
22% of married men have cheated on their wives and 14% of married women have cheated on their husbands, according to current data. The data is inaccurate, because most couples will not admit to cheating in the first place.
How can bar graphs be misleading?
They can be misleading if information is missing or it is inaccurate.
What do you call incomplete outdated or otherwise inaccurate data is a type of?
dirty data
A hypothesis that is not supported by the data that has been collected and analyzed is?
Inaccurate
What is hypothesis that is not supported by the data that has been collected and analyzed?
It is inaccurate.
What are some things that make an experiment invalid?
Inaccurate data entry.
What term is fedined as anything that can distort data and lead to inaccurate conclusions?
bias
What term defined as anything that can distort data and lead to inaccurate conclusion?
error
What are some things that might make an experiment invalid?
Inaccurate data entry.
What are some ways in which data collected may be inaccurate?
data could be entered inaccurately because of:human errornatural disasters
What term is defined as anything that can distort data and lead to inaccurate conclusions?
bias anomaly
What is the effect of inaccurate data input in your system?
The effect will be a negative one since only accurate data will give the desired effects.
Why is it possible for data to be precise but inaccurate?
Data can be precise but inaccurate because precision refers to the level of detail and consistency in measurements, while accuracy relates to how close those measurements are to the true value. It is possible for precise data points to be consistently incorrect, leading to inaccuracies despite the level of precision.
How can the concept of "garbage in, garbage out" be applied to data analysis and decision-making processes?
The concept of "garbage in, garbage out" in data analysis and decision-making means that if the data input is flawed or inaccurate, the output or decision made will also be flawed or inaccurate. It emphasizes the importance of using high-quality, reliable data to ensure the accuracy and validity of the analysis and decisions that are made based on that data.
