Answer:
Give at least one reason why it's useful to learn how to solve and program solutions with a limited set of commands. So that when there is more commands we know how to use the ones we have. parameters help generalize the solution to a specific problem. how are functions with parameters an example of abstraction?
Explanation:
There is no need of adding template strings inside a <Text> component for adding strings in react-native. You can just use simple text and for variables, you can wrap it with curly braces
Answer: The difference present between the packet switching and circuit switching are as follows:-
- Packet switching i the switching in which the data packet travels through the connectionless path whereas connection oriented routes are present for circuit switching
- Network layer uses the feature of packet switching while physical layer uses circuit switching technique
- Data transferring is mostly preferred through packet switching and voice communication takes place through the circuit switching.
- Packet switching is considered flexible as no already established connection is present for switching but the connection in circuit switching are already defined which makes it less flexible.
Among the packet switching and circuit switching , packet switching is preferred for the communication through the data packets because they have flexibility and affordability.It can establish numerous connection for switching and this make it efficient.
By negatively influencing data collection, <u>bias</u> can have a detrimental effect on analysis.
In statistical analysis, bias occurs when the data collected is not a true representation of the group under study. Bias occurs due to various mistakes or errors that occur at the time of data collection and sampling.
If a particular data is negatively influenced, then this means that there will be a bias in the expected results. Such a case can be highly detrimental especially if the studies would be implemented for a human issue.
The bias produced by a negative influence will cause errors in the analysis of the data leading to an overall wrong result.
To learn more about bias, click here:
brainly.com/question/24491228
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