Answer:
The correct answer to the following question will be "NORM.S.INV".
Explanation:
- The NORM.IN.V function in Excel determines the opposite of the Cumulative Standard Distribution Function for just a value of x which is given, and the standard deviation and mean of the distribution provided. The probability of NORMINV(mean, probability, standard deviation).
- In Excel 2010, the standard. S. Inv function is new and is therefore not easily accessible in Excel's earlier versions.
Therefore, NORM.S.INV is the right answer.
Answer:
Option (e)
Explanation:
Option (e) is the answer. It indicates the exception thrown and displays it. It also indicates the place where the exception was thrown ( at what line of the code the exception was thrown )
Option (a) is false as the program which was terminated because of an exception which was not handled doesn't starts automatically.
Option (b) is false as it doesn't opens a dialogue box about running the program another time or anything. It just terminates because of the unhandled exception.
Option (c) is false as it doesn't saves all the output to a disk file called the "runStackTrace.txt".
Option (d) is false as it doesn't open a dialogue box. The program terminates because of the unhandled exception.
The correct option to this question is class interface.
The class interface is the portion of a class that is visible to the application’s programmer. Class interfaces mean implementation of public methods of the class. These class interfaces of the class are easily visible to the application’s program either the one who is developing the application program or the one who is reading the application’s code.
Class interface can be seen by the other classes as its public face. Class interfaces separate the class’s implementation and its interaction with other classes. That way the implementation of the class can be modified easily without being known by other classes. Basically, the programmer who is developing the program, all the portions of the programm is visible to that programmer.
For example, the class is written below:
class class-name
{
private members;
public method()
{
//method defination
}
}
when the class object is created, the code of the object to the programmer is visible.
<u>While the other options are incorrect:</u>
- Form: the form is used to collect information from the user. It can be build using front-end development tools
- Design: Design is a term used in computer or software engineering to make something from scratch or beginning. It can be methodologies, standards, or techniques etc.
- Control: Control is the mechanism or a term used in software development to control the program or execution of the program.
You can learn more about class interface at
brainly.com/question/13089781
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The complete question is found while searching over internet:
"
<em>The class ________ is the portion of a class that is visible to the application's programmer.</em>
- <em>Interface</em>
- <em>Form</em>
- <em>Design</em>
- <em>Control </em>
"
Answer:
All of the above
Explanation:
A local variable is a variable which is declared within a method or is an argument passed to a method, it scope is usually local (i.e. it is hidden from other method). it can also have the same name as a local variable in another method and it loses the values stored in them between calls to the method in which the variable is declared. So all the option listed above are correct.
Answer:
4. Supervised learning.
Explanation:
Supervised and Unsupervised learning are both learning approaches in machine learning. In other words, they are sub-branches in machine learning.
In supervised learning, an algorithm(a function) is used to map input(s) to output(s). The aim of supervised learning is to predict output variables for given input data using a mapping function. When an input is given, predictions can be made to get the output.
Unsupervised learning on the other hand is suitable when no output variables are needed. The only data needed are the inputs. In this type of learning, the system just keeps learning more about the inputs.
Special applications of supervised learning are in image recognition, speech recognition, financial analysis, neural networking, forecasting and a whole lot more.
Application of unsupervised learning is in pre-processing of data during exploratory analysis.
<em>Hope this helps!</em>
