Answer:
The following are code in the Java Programming Language.
//define boolean type function
boolean isReverse(int ar[], int b[])
{
//declare integer type variable
int x;
//set the for loop
for (x=0; x < ar.length && ar[x] == b[ar.length-1-x]; x++);
return x == ar.length;
}
Explanation:
<u>The following are the description of the code</u>.
In the above code that is written in the Java Programming Language, we define the boolean data type function that is 'is Reverse()' and pass two array integer data type arguments that is 'ar', 'b' in the then, declare integer data type variable that is 'x'. Set the for loop that the boolean type value is true or false.
The value of result of the code segment is executed is known to be 4.
<h3>Why is the value of the code segment so?</h3>
When the result of is not executed because the condition is said to be false and also when there is a false condition is, the else statement will be said to be true
Therefore, result = result + 2; -> result is brought up by 2 to bring about 4 and as such, the value of result of the code segment is executed is known to be 4.
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<u>Answer:</u>
<em>Big data is to analyze large complex data.</em>
<u>Explanation:</u>
It is basically a data processing software which has overcome the disadvantage which we had in <em>the classical software where it was not able to manage huge data in a faster mode.</em>
The mean of an informational collection is found by including all numbers in the informational index and afterwards partitioning by the number of qualities in the set.
<em>To answer the question is the word big points to a number? I would say yes, since it can handle large amount of data, it is so called “Big data.</em>
The middle is the center worth when an informational collection is requested from least to most noteworthy. <em>The mode is the number that happens frequently in an informational index.</em>
Answer:
D) Identifying Subgroups
Explanation:
In data Analytics, a third variable also known as a confounding variable, is a variable that "sits in-between", it has influence on both the independent variable and dependent variable. If this "third variable" is not properly handled, the result of the anlysis will yeild incorrect values. identifying subgroups in a dataset is important for undertanding it
