Answer:
A mouse.
Explanation:
An input device can be defined as any device that is typically used for sending data to a computer system.
Generally, all of the output and input device of a computer are known as peripheral (external) devices and they provide data (informations) to the end users in various formats such as video, audio, texts, images etc.
Since input devices are peripheral (external) devices, they can be connected to the computer system wirelessly or through a wired-connection (cable).
Some examples of peripheral (external) devices are monitor, speakers, keyboard, printer, scanner, projector, mouse, etc.
A mouse is an input device that is designed and used to select specific menu options, drag and drop options and to draw something on screen.
Answer:
The answer is "Option c"
Explanation:
Decisions made in secret have always been critical. Hence the want to express it before your choice is made. It is all about how you express choice. In general, they need your presentation to explain the choice that you decided, how they created it, and how it implies for just the group, that you are approaching, and wrong choices can be described as follows:
- In option a, It is used in the industry to interest.
- In option b, It is use in communication mechanism.
- In option d, It enables people to handle our activities or carry them out.
Answer:
There is also an attachment below
Explanation:
Since we are talking about binary search, let's assume that the items are sorted according to some criteria.
Time complexity of binary search is O(logN) in worst case, best case and average case as well. That means it can search for an item in Log N time where N is size of the input. Here problem talks about the item not getting found. So, this is a worst case scenario. Even in this case, binary search runs in O(logN) time.
N = 700000000.
So, number of comparisions can be log(N) = 29.3 = 29.
So, in the worst case it does comparisions 29 times
Answer:
The solution code is written in Python 3:
- def modifyList(listNumber):
- posCount = 0
- negCount = 0
-
- for x in listNumber:
- if x > 0:
- posCount += 1
- else:
- negCount += 1
-
- if(posCount == len(listNumber)):
- listNumber.append(max(listNumber))
-
- if(negCount == len(listNumber)):
- listNumber.append(min(listNumber))
-
- print(listNumber)
-
- modifyList([-1,-99,-81])
- modifyList([1,99,8])
- modifyList([-1,99,-81])
Explanation:
The key step to solve this problem is to define two variables, posCount and negCount, to track the number of positive value and negative value from the input list (Line 2 - 3).
To track the posCount and negCount, we can traverse through the for-loop and create if else statement to check if the current number x is bigger than 0 then increment posCount by 1 otherwise increment negCount (Line 5- 9).
If all number in the list are positive, the posCount should be equal to the length of the input list and the same rule is applied to negCount. If one of them happens, the listNumber will append either the maximum number (Line 11 -12) or append the minimum number (Line 14-15).
If both posCount and negCount are not equal to the list length, the block of code Line 11 -15 will be skipped.
At last we can print the listNumber (Line 17).
If we test our function using the three sets of input list, we shall get the following results:
[-1, -99, -81, -99]
[1, 99, 8, 99]
[-1, 99, -81]
r packages include sample datasets. they also include reusable r functions and documentation about how to use the functions.
The above statement is <u>True</u>.
What are R packages?
<u>The statistical programming language R has extensions </u>known as R packages. Users of R can install R packages by <u>accessing a centralized software repository like CRAN</u>, which often contains code, data, and documentation in a common collection format.
The "library" directory is <u>where R </u><u>packages </u><u>are kept in the R environment</u>. During installation, R automatically install a number of packages. Later, when additional packages are required for a particular task, they are added.
To learn more about R packages, use the link given
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