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Chapter 21: Key Topics Related to Data and Information
Data and information will be the focus of about 18 percent of the End-of-Course Exam questions.
The Explore Performance Task has a writing prompt that focuses on this topic.
Within a computing innovation, data and information are inputted, outputted, and/or transformed.
Data scientists use data to create new understandings.
More data is available to us for entertainment, decision-making, and problem-solving.
Our need to understand patterns and display conclusions increases as this data increases.
People use programs to process and learn about data.
Finding patterns or testing hypotheses are some of the things that learning is related to.
Computer scientists design programs to check hypotheses.
Computer scientists sometimes make new hypotheses as a result of new learning.
Data needs to be combined to check for patterns.
Computers help people translate and transform data, leading to discoveries that would not have been possible without the computer.
Computing tools can be used to solve data problems.
Communication is important to make sure the data is accurate.
It's a skill that needs to be practiced.
This is needed to complete the Explore Performance Task artifact.
New discoveries can be made from data sets.
Computing tools can be used to pull data.
The size of a data set affects the way in which it is processed and the information that can be learned from it.
A larger set may provide a more "real world" view, but it may also require more processing than is possible, or it may be difficult to access the information within that set.
To create a new conclusion, a smaller set may need to be expanded.
Computing tools can help you understand trends.
Tools can be used to provide evidence of these patterns.
A scientist is using an application to study flowers that are in bloom.
A flower's scientific name can be translated into an image of a flower.
A database of that flower's image, its name, a timestamp of when the image was taken, and the flower's location was created.
Many people are encouraged by the scientist to use their smart phones for the purpose of studying flower growth over a long period of time.
This is an example of people working together.
The application is being improved by many people.
This is a good example of citizen science.
The database has many people contributing to it.
This is an example of an application.
Each data point has a timestamp in the database.
We don't know how long the study has taken.
You need to know each vocabulary term in relation to data and databases.
Computational manipulation of information is required for data representation, storage, security, and transmission.
Refer to the first example.
The answer is incorrect because the coordinates are numerical.
It would be more likely to use compression on an image that would save more space.
It is not likely that the database is housed on a personal computer because of space and security concerns.
The database is likely to be backed up multiple times per day to prevent it from being lost or corrupted.
There are several related multiple-choice questions that lead to one specific example.
Questions in the Data and Information category are typical.
Several questions may be related to one situation since the context of questions takes time to set up.
The best way to answer questions is in a chain of questions related to one situation.
Answer all of the questions related to the context once you understand it.
You will likely be confused if you jump around.
What could happen as a result of this concern is something you need to clarify.
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