the answer is no some times the information on the line graph is not as accurate as the info on the data table.
Its mean incomplete data or the data upon which we can not rely totally.
what do you mean by data handling define mean mode median
An outlier does affect the mean of the data. How it's affected depends on how many data points there are, how far from the data the outlier is, whether it is greater than the mean (increases mean) or less than the mean (decreases the mean).
A data controller is a person who controls the data.
"precise information provided by numerical data" is the scientific term
measuring
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.
If you mean precise. It means to be exact. marked by exactness and accuracy of expression or detail
Numerical data provides specific and quantifiable information, such as exact measurements, counts, or values. This data is valuable for making accurate calculations, comparisons, and predictions in various fields such as science, finance, and research.
Accurate, precise, clean, and clear
FILE is a data-type (a struct, to be precise).
To get the exact and precise answers.
These numbers are precise, as they are all close together. If any one of these are accurate, then this group of numbers can be considered precise and accurate.
The most precise method for recording data points during an experiment is to use digital data collection tools, such as sensors or data logging software, that can directly capture and store measurements without manual intervention. This minimizes human error and ensures accurate and reliable data collection.
Using electronic sensors and data loggers connected to a computer is considered one of the most precise methods for recording data points during an experiment. This method eliminates human error and ensures accurate and real-time data collection. Additionally, using software to automate data logging can help streamline the process and improve data accuracy.
Some of the characteristics of enterprise data include the ability to create precise data, as well as the ability to quickly and efficiently retrieve said data. This can apply to both applications and communication.