Im not using Brainly for my account how do i Remove it

This program will convert a set of temperatures from Fahrenheit to Celsius and Kelvin. Your program will be reading in three dou

Naily [24]

Answer:

see explaination

Explanation:

#include<iostream>

#include<iomanip>

using namespace std;

int main()

{

double temp1,temp2,inc,cel;

int i=1;

while(i==1)

{

i=0;

cin>>temp1>>temp2>>inc;

if(temp2<temp1||inc<=0)

{

i=1;

cout<<"Starting temperature must be <= ending temperature and increment must be >0.0\n";

}

cout<<endl;

cout<<setw(15)<<"Fahrenheit"<<setw(15)<<"Celsius";

while(temp1<=temp2)

{

cel=(temp1-32)/1.8;

cout<<endl;

cout<<fixed<<setprecision(3)<<setw(15)<<temp1<<setw(15)<<cel;

temp1+=inc;

}

Please kindly check attachment for output.

8 0

3 years ago

Im lonellly whos down to date me

inna [77]

Answer:

I was actually just looking to help with someone's schoolwork. . .

Explanation:

5 0

3 years ago

Read 2 more answers

Which factor did not contribute to the increase of leisure travel in the early twentieth century in the United States?

Vitek1552 [10]

The second factor as it did not make travel easy at all

6 0

3 years ago

Read 2 more answers

What are three consequences of a negative digital Trail

Vladimir79 [104]

Answer:

The digital footprint that is had behind can have repercussions in every aspect of your adolescent's life, conceivably bringing about botched occupation chances, public sharing of individual data, destroyed connections

Explanation:

Digital trail what's left behind as you calmly peruse the web, post via web-based media or even sort into a visit administration. Regardless of whether you're mindful, you add to your advanced impression or profile every day when you sign onto the Internet. The sites you visit, the news posts you remark on, the remarks you leave via web-based media stages—every one of these things meet up to make a representation of your online life.

The digital footprint that is had behind can have repercussions in every aspect of your adolescent's life, conceivably bringing about botched occupation chances, public sharing of individual data, destroyed connections — or, in what is likely more pertinent to them at this moment: Their folks discovering what they've been up to and along these lines being rebuffed.

8 0

3 years ago

A blood bank maintains two tables - DONOR, with information about people who are willing to donate blood and ACCEPTOR, with info

Kipish [7]

Answer:

The sql query is given below.

Since we need to count of males and females for a particular blood group, we put xxx for the blood group.

SELECT COUNT(SELECT DID FROM DONOR WHERE GENDER LIKE "M%") as Male_Donors,

COUNT(SELECT DID FROM DONOR WHERE GENDER LIKE "F%") as Female_Donors

FROM DONOR

WHERE BG = xxx;

Explanation:

The clauses in the query are as follows.

1. SELECT: all the columns required in the output are put in this clause.

2. FROM JOIN ON: the table(s) from which the above columns are taken are put in this clause.

3. WHERE: any condition required to filter the output is put in this clause.

The query is explained below.

1. Find the number of male donors. Number of anything can be found using COUNT() function. A query is required since gender is included in deciding the type of donor.

2. The query is defined to find number of male donors as follows.

COUNT( SELECT DID FROM DONOR WHERE GENDER LIKE "M%"; )

3. In the previous query, LIKE operator is used since it is not defined what value is stored for male donors.

4. Similarly, the query to find the number of female donors is formed.

COUNT( SELECT DID FROM DONOR WHERE GENDER LIKE "F%"; )

5. Next, the final query is formed as follows.

SELECT: both COUNT() functions will come here.

FROM: table name

WHERE: specific blood group will be put here

GROUP BY: this clause is optional and is not used in this query.

HAVING: this clause is optional and is not used in this query.

6. The query after putting all clauses is shown below.

SELECT COUNT(SELECT DID FROM DONOR WHERE GENDER LIKE "M%"),

COUNT(SELECT DID FROM DONOR WHERE GENDER LIKE "F%")

FROM DONOR

WHERE BG = xxx;

7. Alias is used in the above query for each column to get the final query.

SELECT COUNT(SELECT DID FROM DONOR WHERE GENDER LIKE "M%") as Male_Donors, COUNT(SELECT DID FROM DONOR WHERE GENDER LIKE "F%") as Female_Donors

FROM DONOR

WHERE BG = xxx;

7 0

3 years ago