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Getting the information into a structure in which it can be processed by the computer is called DATA CAPTURE.

(By the way the information i gave you came from my computer book not from me, ok)

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Where can you study data capturing?

You can study data capturing through various educational platforms, including universities offering degrees in data science, information technology, or statistics. Online courses on platforms like Coursera, edX, and Udacity also provide specialized training in data capturing techniques and tools. Additionally, bootcamps focused on data analytics or data engineering can provide hands-on experience in data collection and management.


What are the advantages of of using data logging equipment to collect the data?

Data logging equipment offers several advantages for data collection, including accuracy and consistency, as it minimizes human error by automating the recording process. It allows for continuous monitoring over extended periods, capturing data at regular intervals without interruption. Additionally, data loggers can often store large amounts of information, enabling comprehensive analysis and trend identification. Finally, many modern data loggers come equipped with wireless capabilities, facilitating real-time data access and remote monitoring.


Explain why high low line and regression line differs?

The high-low line is a simplistic method used in cost estimation that connects the highest and lowest data points to determine variable costs per unit, focusing only on extremes. In contrast, a regression line is derived from statistical analysis, capturing the overall trend of the data by minimizing the distance between the line and all data points, allowing for a more nuanced understanding of relationships. As a result, the regression line typically provides a more accurate representation of the data's behavior, while the high-low line may overlook significant variations.


What process in the ROI methodology can be considered most challenging?

The most challenging process in the ROI methodology is often the measurement and evaluation phase. This stage requires accurately capturing and analyzing data to quantify the impact of a program or initiative, which can be complex due to variables like external factors, long-term effects, and the need for baseline measurements. Additionally, aligning stakeholders on what constitutes success and ensuring consistent data collection can further complicate this process.


Why range is considered as good measure of variability and why standard deviation is preferred over the other?

Range is considered a good measure of variability because it provides a simple and quick assessment of the spread of data by capturing the difference between the maximum and minimum values. However, it is sensitive to outliers and does not account for the distribution of values between the extremes. Standard deviation is preferred because it considers how each data point deviates from the mean, providing a more comprehensive view of variability, and it is less influenced by extreme values. This makes standard deviation a more robust and informative measure for understanding the dispersion of data.

Related Questions

What is the purpose of capturing data?

EXC FILE. data


What are the sensor data capturing in expert system?

In an expert system the sensor is capturing raw data. This data is used to analyze, examine, organize, and secure data for reporting and visualization.


Where can you study data capturing?

You can study data capturing through various educational platforms, including universities offering degrees in data science, information technology, or statistics. Online courses on platforms like Coursera, edX, and Udacity also provide specialized training in data capturing techniques and tools. Additionally, bootcamps focused on data analytics or data engineering can provide hands-on experience in data collection and management.


What is sensor data capturing?

It is the process of collecting,organizing and accessing data with the help of computer sensors.


Examples of data processing operation?

There are different data processing operations include capturing, transmitting, and storing data. Other operations are manipulating, retrieving, and displaying data.


In banking what is the full form of edc machine?

I think it is electronic data capturing machine


What is capturing and storing and updating and retrieving data and information?

Capturing involves collecting data, while storing involves saving it in a usable format. Updating means making changes to the stored data, and retrieving means accessing the information when needed. Together, these actions help manage and utilize data efficiently.


What are data capturing techniques?

D.C.Ms capture data. these are normaly inside thinner devices and can colect data, even through viruses. there is 2 levels. sharp and sting. sharp is faster but expencive.


What first identified capturing data at the point of care as a key criterion for an EHR?

HIPAA


What device assists in capturing and entering raw data into the computer system?

input device


Some input devices eliminate manual data entry by capturing data from a?

source document


What computer systems used for capturing storing and analysing geographic data in karnataka?

GIS Geographic Information Systems are computer systems used for capturing, storing and analyzing Geographic data. Since a citys administration and planning are closely tied to its geography, eGov GIS