Question

#1. List examples of where it matters whether items are in order (sorted).


#2. Think about your data that you’ve been collecting, how easy would it be for you to sort your data by hand? If you go to the same place everyday after school, it might be easy to “sort” your data, but how hard would it to be to sort your data by hand if you went somewhere different after school everyday?

Answer 1

Answer:

Have volunteers provide examples from their lists and explain why it matters that they are sorted. Such examples are:

Data collected by students

Data collected by researchers.

In schools to keep record of students

In the hospital to keep record of patients

At the airports to keep booking records straight.

Explanation:

It would not be easy to sort data by hand except by the use of computer. This is the biggest advantage of the computer.

Answer 2

Data sorting refers to the arrangement of data based on a given criterion or a set of criteria such as alphabet, magnitude or similar characteristics.

Examples of scenarios where sorting matters :

• Information or data about school enrollment where data might be sorted based on enrollment time.

• Employee enrollment where data is sorted based on the position applied for.

• Credit information where data is sorted based on credit amount or credit class.

2.)

Data sorting by hand is often very tedious and error - prone. This is mainly due to high probability of human error and volume of data.

Therefore, data sorting using sorting algorithms or computer softwares are often more advisable in other to improve data integrity and correctness. https://brainly.com/question/16403687

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