Answer:
Following are the program in the Python Programming Language.
#get input from the user
x = float(input())
#get input from the user
y = float(input())
#get input from the user
z = float(input())
#find the average
average =(x+y+z)/3
#find the product
product = x*y*z
#print the result in given format
print('\n%d %d'%(average,product))
#print the result in given format
print('%0.2f %0.2f'%(average,product))
Explanation:
<u>Following are the description of the program</u>:
- We set three variables 'x', 'y', and 'z' that accept float type values from the user.
- Then, set variable 'average' that store the average of the following values that is given by the user.
- Set variable 'product' that store the multiplication of the following values that is given by the user.
- Finally, we print the average and the product in the following format that is given in the statement.
Answer:
The answer is "Option b".
Explanation:
Tubes were streams among processes, that are interconnected. It is coordinated ways to communicate between threads, that's why the only option b is wrong, and the correct choice can be defined as follows:
- In option a, the byte-based I/O the input and output stream abstract class is used, that's why it correct.
- In option c, It is used to provide additional functionality, that's why it correct.
- In option d, It is used to provide the text output.
Answer:
weff WEF ef ef aeF EFaef EFE fe efaef ea f
Explanation:
36% is the answer to your question.
Answer:
adjusted exponential smoothing; linear regression.
Explanation:
A time series can be defined as a technique used in statistical analysis and it involves indexing sets of data elements in a timely or successive order i.e sequentially.
Two time series techniques that are appropriate when the data display a strong upward or downward trend are adjusted exponential smoothing and linear regression.
An adjusted exponential smoothing is a statistical technique used for forecasting through the calculation of the weighted average of an actual value.
