Answer:
In addition to MLA, <u>American psychological association, Associated Press and Chicago manual of style</u> are widely using referencing techniques,
Explanation:
<u>American Psychological Association(APA)</u>
APA is the largest organization of scholars, they have their own referencing style guidelines that is used by these scholars. 
<u>Associated Press</u>
It is also an american based agency that have their own referencing style for citation of research work named as Associated press. 
<u>Chicago Manual of Style</u>
It is also an american referencing style used for reference.
 
        
             
        
        
        
Answer:c)You want to automate a repetitive task to save time
Explanation: Macro is the program that is utilized when there is a requirement of a task or operation to be repeated in a automatic way.This helps in saving the time without commanding the same operation to take place manually.
This program works by taking the into and generating the preset output sequence. Other options are incorrect because it does not help in email functions, correction of the citation in documents or generation of the table.Thus, the correct option is option(c).
 
        
             
        
        
        
Answer:
The answer is "supplierType"
Explanation:
Description of the code:
- In the given program two structure is defined, that is "supplierType and paintType", in which "supplierType" structure two-variable name and "supplierID" is defined, that datatype is "String and integer".
- In the next step, "paintType" is declared, in which "supplierType" object supplier is created, in which two string variable "color and paintID" are defined, in which "supplierType" data type is supplied.
 
        
             
        
        
        
Answer:
40
Explanation:
Given that:
A neural network with 11 input variables possess; 
one hidden layer with three hidden units; &
one output variable
For every input, a variable must go to every node.
Thus, we can calculate the weights of weight with respect to connections to input and hidden layer by using the formula:
= ( inputs + bias) × numbers of nodes
= (11 + 1 ) × 3
= 12 × 3
= 36 weights
Also, For one hidden layer (with 3 nodes) and one output
The entry result for every hidden node will go directly to the output
These results will have weights associated with them before computed in the output node.
Thus; using the formula
= (numbers of nodes + bais) output, we get;
= ( 3+ 1 ) × 1
= 4 weights
weights with respect to input and hidden layer total = 36
weights with respect to hidden and output layer total = 4
Finally, the sum of both weights is = 36 + 4
= 40