Some examples of environmental technology is recycling.
Using the knowledge of pseudocodes it will be possible to write a code that calculates the amount of hours worked and giving warnings about it.
<h3>Writing a pseudocode we have that:</h3>
<em>while </em>
<em>if number == 0</em>
<em>break</em>
<em>hours =0 </em>
<em>for i =1 to 5 </em>
<em>hours = hours + time_out[ i ] - time_in[ i ]</em>
<em> If hours >36 : </em>
<em>print ( "Name is " ,name)</em>
<em>print( "No of hours are ",hours)</em>
<em>print("Congratulaion! Your working hours are more than 36")</em>
<em>If hours <30 : #</em>
<em>print ( "Name is " ,name)</em>
<em>print( "No of hours are ",hours)</em>
<em>print("Warning !!!")</em>
<em>End loop</em>
See more about pseudocode at brainly.com/question/13208346
#SPJ1
It is true the reason why it is true is
The indices of the internal array elements that hold the remaining elements is c) 2 to 4
<h3>Calculations and Parameters:</h3>
For us to create a capacity of 10 for the queue, we would enqueue:
We would create a queue of capacity 10:
<h3>Queue q(10);</h3>
We add elements/enqueue 5 elements to the queue :
- q.queueEnqueue(10);
- q.queueEnqueue(5);
- q.queueEnqueue(8);
- q.queueEnqueue(9);
- q.queueEnqueue(2);
Printing this would give:
q. queueDisplay()
10, 5, 8, 9, 2
Next, we would remove elements/dequeue 2 elements from the queue :
q. queuedequeue();
q. queuedequeue();
Printing it would be:
q. queueDisplay()
8 ,9, 2
Observing this, the deletion/dequeue starts from the front/first index.
The remaining indices of the internal array elements are: 2, 3, 4 or 2 to 4
Read more about arrays and enqueue here:
brainly.com/question/24188935
#SPJ1
Answer:
True is the correct answer to the given question .
Explanation:
In the longitudinal analysis of designing we are collecting the information from the similar sample frequently over an enlarged time where as in the cross-sectional analysis designing Gathering the information from the population at the given time interval .
The main objective longitudinal designed is used to monitor the variations in the similar sample as a result of frequent analysis of the similar variables that are not possible in the cross-sectional design analysis .
Therefore the given statement is true .
