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A common problem in data is the issue of data quality, which includes inaccuracies, inconsistencies, and missing values. Poor data quality can lead to incorrect analyses and misguided decision-making. Additionally, data privacy concerns and compliance with regulations, such as GDPR, pose significant challenges in data management. Addressing these issues is crucial for ensuring reliable and ethical use of data.
What else can I help you with?
What is the meant by anomaly in database?
Data anamaly means same type of data present in database as a duplication.So while updating or modifying the information in the database we gets the problem of data inconsistency to solve this problem we need to remove the duplicated data
What is an inherent problem in using secondary sources of data is?
An inherent problem in using secondary sources of data is that the data may have been skewed or manipulated a bit. Primary sources of data are always more reliable than secondary sources.
What is the importance of collecting an extensive amount of data such as this?
the quantity of data will lead to a better understanding of the extent of the problem
What is the importance of good data collection and analysis to support the problem solving process?
With poor data, you could get the wrong answer to the problem, which could cost time and money in most cases.
How are data and hypothesis different?
A hypothesis comes before data. A hypothesis is an estimated guess to what will happen. And Data is the steps it takes to come to a solution in a problem.
Limitation of data processing system?
Hi, Data redundancy Data Inconsistancy Difficulty in accessing data Data Isolation Integrity problem Atomicity problem security problem
What is the importance of data for getting answer to a scientific problem?
data the recorded observations are called data.
When is a problem researchable?
is a problem that can be investigated through the collection and analysis of data.
What is interpreting data?
It is to decide what the data indicates about the hypothesis or problem being investigated.
The problem of inconsistency in data is a direct result of?
The problem of inconsistency in data can arise from various factors such as errors in data entry, lack of standardized data formatting, and incomplete data updates. Inconsistent data can lead to inaccurate analysis and decision-making, affecting the overall reliability of data-driven processes.
How would you explain data processing system?
data processing system is the process of data that refers to information about what the problem.
What is the meant by anomaly in database?
Data anamaly means same type of data present in database as a duplication.So while updating or modifying the information in the database we gets the problem of data inconsistency to solve this problem we need to remove the duplicated data
What is an inherent problem in using secondary sources of data is?
An inherent problem in using secondary sources of data is that the data may have been skewed or manipulated a bit. Primary sources of data are always more reliable than secondary sources.
What is Drawbacks of using file system to store data?
* Data redundancy and inconsistency. * Data isolation * Problem in atomicity of data * Difficulty to access data. * Security Problems
What is the Statistical Cycle?
The cycle is used to carry out a statistical investigation. It has five stages to it: Problem, Plan, Data, Analysis and Conclusion. The problem section is about formulating a statistical question. what data to collect, who to collect it from and why is it important. The plan section is about how the data will be gathered. The data section is about how the data is managed and organised. The conclusion section is about answering the question in the problem section and giving reasons based on the analysis section.
What steps to solve a problem must be completed first recognizing and identifying the problem OR analyzing data?
Recognizing and identifying the problem.
What is a process used by scientists to find answers to questions or solve problem?
The Scientific Method Define a problem Research it Make a hypothisis Preform an experiment/collect data Analize data Draw a conclusion from the data Publish
