Answer:
<u>the first friend</u>
Explanation:
It is important to <em>remember </em>that a core is the brain of the CPU (central processing unit), which means one who has a dual-core is having <em>"a dual brain" </em><em>to process information faster.</em>
Consider also, IT experts often acknowledge that in terms of speed of execution, it is proven that, "dual-core systems" are <em>faster</em> (even twice faster) than a "single-core system". The other friends were wrong because they disagreed with a widely accepted fact that dual-core is faster than single-core; and of course, <em>we know that without them being faster they can't run twice the applications and twice the data. </em>
Therefore, we can make the conclusion that the first friend's response is correct.
Answer:
The answer is "Choice B"
Explanation:
Please find the complete question in the attached file.
A filter is a tool for removing undesirable parts. Eliminate solid from a fluid, for example. The filter may mean the filter action: it could be used as a verb. When the filter is mentioned, various branches of science and technology often refer to a certain type of device. Filtering tries to decide the data you need and the data you have to address the overload.
Answer:
Explanation;
else
System.out.println("f1 and f2 are not equal");
switch (input.charAt(0)
{
case '+':
f3 = f1.add(f2);
System.out.println("f1+f2=" + f3);
break;
case '-':
f3 = f1.subtract(f2);
System.out.println("f1-f2=" + f3);
break;
case '*':
f3 = f1.multiply(f2);
System.out.println("f1*f2="+f3);
break;
case '/':
f3 = f1.divide(f2);
System.out.println("f1/f2="+f3);
break;
default:
System.out.println("Illegal command: " + input );
break;
}
}// end of while loop
} // end of main
}
Note ; this is the last part of the programme check the attachment from 1-5 this is the 6th .
Answer:
- import math
-
- def standard_deviation(aList):
- sum = 0
- for x in aList:
- sum += x
-
- mean = sum / float(len(aList))
-
- sumDe = 0
-
- for x in aList:
- sumDe += (x - mean) * (x - mean)
-
- variance = sumDe / float(len(aList))
- SD = math.sqrt(variance)
-
- return SD
-
- print(standard_deviation([3,6, 7, 9, 12, 17]))
Explanation:
The solution code is written in Python 3.
Firstly, we need to import math module (Line 1).
Next, create a function standard_deviation that takes one input parameter, which is a list (Line 3). In the function, calculate the mean for the value in the input list (Line 4-8). Next, use the mean to calculate the variance (Line 10-15). Next, use sqrt method from math module to get the square root of variance and this will result in standard deviation (Line 16). At last, return the standard deviation (Line 18).
We can test the function using a sample list (Line 20) and we shall get 4.509249752822894
If we pass an empty list, a ZeroDivisionError exception will be raised.
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