Answer:
that's muddled up I can't make out the question
Answer:
In Java:
import java.util.*;
public class Main{
public static void main(String[] args) {
Scanner input = new Scanner(System.in);
String name;
System.out.print("First name: ");
name = input.next();
name= name.substring(0, 1).toUpperCase() + name.substring(1).toLowerCase();
System.out.print(name);
}
}
Explanation:
This declares name as string
String name;
This prompts the user for first name
System.out.print("First name: ");
This gets the name from the user
name = input.next();
This capitalizes the first letter of name and makes the other letters to be in lowercase
name= name.substring(0, 1).toUpperCase() + name.substring(1).toLowerCase();
This prints the formatted name
System.out.print(name);
Answer:
hii
Explanation
syntax error: a syntax error is an error in the syntax of a sequence of characters or tokens that is intended to be written in compile-time. A program will not compile until all syntax errors are corrected.
logic error: logic error is a bug in a program that causes it to operate incorrectly, but not to terminate abnormally. A logic error produces unintended or undesired output or other behaviour, although it may not immediately be recognized as such.
Normal or random variations that are considered part of operating the system at its current capability are <u> c. common cause variations.</u>
Explanation:
Common cause variation is fluctuation caused by unknown factors resulting in a steady but random distribution of output around the average of the data.
Common-cause variation is the natural or expected variation in a process.
Common-cause variation is characterised by:
- Phenomena constantly active within the system
- Variation predictable probabilistically
- Irregular variation within a historical experience base
It is a measure of the process potential, or how well the process can perform when special cause variation removed.
Common cause variation arises from external sources that are not inherent in the process and is where statistical quality control methods are most useful.
Statistical process control charts are used when trying to monitor and control 5- and 6-sigma quality levels.
