Sure, here is a step-by-step solution to calculate the average of all elements in a matrix:

1. Read the values of m and n from the input, representing the number of rows and columns in the matrix, respectively.
2. Create an empty matrix of size m x n.
3. Use a nested loop to iterate over each row and column of the matrix.
4. Inside the loop, read the value of each element from the input and store it in the corresponding position in the matrix.
5. Initialize a variable sum to 0, which will be used to calculate the sum of all elements in the matrix.
6. Use another nested loop to iterate over each row and column of the matrix.
7. Inside this loop, add the value of each element to the sum variable.
8. After the loop, calculate the average by dividing the sum by the total number of elements in the matrix, which is m x n.
9. Print the average as the output.

Here is a sample code in Python that implements the above steps:

```python
m, n = map(int, input().split())

matrix = []
for _ in range(m):
row = list(map(int, input().split()))
matrix.append(row)

sum = 0
for i in range(m):
for j in range(n):
sum += matrix[i][j]

average = sum / (m * n)
print(average)
```

Note: This code assumes that the input is provided in the specified format, and the elements of the matrix are separated by spaces.

Question

Sure, here is a step-by-step solution to calculate the average of all elements in a matrix:

1. Read the values of m and n from the input, representing the number of rows and columns in the matrix, respectively.
2. Create an empty matrix of size m x n.
3. Use a nested loop to iterate over each row and column of the matrix.
4. Inside the loop, read the value of each element from the input and store it in the corresponding position in the matrix.
5. Initialize a variable sum to 0, which will be used to calculate the sum of all elements in the matrix.
6. Use another nested loop to iterate over each row and column of the matrix.
7. Inside this loop, add the value of each element to the sum variable.
8. After the loop, calculate the average by dividing the sum by the total number of elements in the matrix, which is m x n.
9. Print the average as the output.

Here is a sample code in Python that implements the above steps:

```python
m, n = map(int, input().split())

matrix = []
for _ in range(m):
    row = list(map(int, input().split()))
    matrix.append(row)

sum = 0
for i in range(m):
    for j in range(n):
        sum += matrix[i][j]

average = sum / (m * n)
print(average)
```

Note: This code assumes that the input is provided in the specified format, and the elements of the matrix are separated by spaces.

Knowee AI · Accepted Answer

Sure, here is a step-by-step solution to calculate the average of all elements in a matrix:

1. Read the values of m and n from the input, representing the number of rows and columns in the matrix, respectively.
2. Create an empty matrix of size m x n.
3. Use a nested loop to iterate over each row and column of the matrix.
4. Inside the loop, read the value of each element from the input and store it in the corresponding position in the matrix.
5. Initialize a variable sum to 0, which will be used to calculate the sum of all elements in the matrix.
6. Use another nested loop to iterate over each row and column of the matrix.
7. Inside this loop, add the value of each element to the sum variable.
8. After the loop, calculate the average by dividing the sum by the total number of elements in the matrix, which is m x n.
9. Print the average as the output.

Here is a sample code in Python that implements the above steps:

```python
m, n = map(int, input().split())

matrix = []
for _ in range(m):
    row = list(map(int, input().split()))
    matrix.append(row)

sum = 0
for i in range(m):
    for j in range(n):
        sum += matrix[i][j]

average = sum / (m * n)
print(average)
```

Note: This code assumes that the input is provided in the specified format, and the elements of the matrix are separated by spaces.

Question

Solution

Similar Questions

Upgrade your grade with Knowee