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3 years ago

Which dialog box enables you to customize how Word automatically changes and formats items in a document as you type

Computers and Technology

1 answer:

ddd [48]3 years ago

7 0

N the Track Changes dialog box, you can control how you want markup to appear in your document.

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Write a program to help a travelling sales person keep up with their daily mileage driven for business. In your main method, the

Lelu [443]

Answer:

The programming language is not stated;

The program written in C++ is as follows (See Explanation Section for detailed explanation);

#include<iostream>

using namespace std;

int main()

{

int numdays;

cout<<"Number of days of mileage: ";

cin>>numdays;

int miles[numdays];

for(int i=0;i<numdays;i++)

{

cout<<"Miles traveled on day "<<i+1<<": ";

cin>>miles[i];

}

int total = 0;

for(int i=0;i<numdays;i++)

{

total+=miles[i];

}

cout<<"Total mileage traveled: "<<total;

return 0;

}

Explanation:

This line declares the number of days of mileage

int numdays;

This line prompts user for days of mileage

cout<<"Number of days of mileage: ";

This line accepts input from the traveler for days of mileage

cin>>numdays;

This line creates an array

int miles[numdays];

The italicized is an iteration that collects the user input for each day

for(int i=0;i<numdays;i++)

{

cout<<"Miles traveled on day "<<i+1<<": ";

cin>>miles[i];

}

This line initializes variable to 0

int total = 0;

The italicized is an iteration that adds up the mileage traveled by the traveler each day

for(int i=0;i<numdays;i++)

{

total+=miles[i];

}

This line prints the total miles traveled

cout<<"Total mileage traveled: "<<total;

5 0

4 years ago

But this time use 16 kib pages instead of 4 kib pages. what would be some of the advantages of having a larger page size? what a

uranmaximum [27]

Here are the advantages and disadvantages of larger paper size:

Advantages:

Reduces minor page faults.

Disadvantages:

There will be a decrease in the number of frames.

There will be an increase number of page faults.

Waste of more space with the internal fragmentation.

6 0

4 years ago

Given the following header: vector split(string target, string delimiter); implement the function split so that it returns a vec

suter [353]

Answer:

see explaination

Explanation:

#include <iostream>

#include <string>

#include <vector>

using namespace std;

vector<string> split(string, string);

int main()

{

vector<string> splitedStr;

string data;

string delimiter;

cout << "Enter string to split:" << endl;

getline(cin,data);

cout << "Enter delimiter string:" << endl;

getline(cin,delimiter);

splitedStr = split(data,delimiter);

cout << "\n";

cout << "The substrings are: ";

for(int i = 0; i < splitedStr.size(); i++)

cout << "\"" << splitedStr[i] << "\"" << ",";

cout << endl << endl;

cin >> data;

return 0;

}

vector<string> split(string target, string delimiter)

{

unsigned first = 0;

unsigned last;

vector<string> subStr;

while((last = target.find(delimiter, first)) != string::npos)

{

subStr.push_back(target.substr(first, last-first));

first = last + delimiter.length();

}

subStr.push_back(target.substr(first));

return subStr;

}

4 0

3 years ago

What is an Pseudocode Algorithm for drying clothes

Lisa [10]

Answer:

Sort out the clothes and find the light colored clothes, wash them, dry them, and fold them, repeat the steps for the dark colored clothes.

3 0

2 years ago

An analyst suggests that the lower the number of clusters, would give us the strongest and most meaningful result, as opposed to

WARRIOR [948]

Answer:

a. True

Explanation:

Various studies have shown that this is true. Clusters allow you to group together large sets of data into smaller groups in order to find similarities between all the data. Having a smaller number of clusters has been proven to allow you to discover much simpler similarities which can have a much greater impact. Larger sets can help in discovering more unique similarities but they do not have as large of an impact and are less meaningful. This is also why it is recommended to have a lower number of clusters when analyzing data sets.

4 0

3 years ago