In: Statistics and Probability
Variable: A variable is any characteristics, number, or quantity that can be measured or counted. It may also be called a data item. Age, sex, business income and expenses, country of birth, capital expenditure, class grades, eye, colour, and vehicle type are examples of variables. It is called a variable because the value may vary between data units in a population, and may change in value over time.
Success: We can just take the time to clearly define what success rate means if a trial, or attempt, was a "success." If you are dealing with a pass/fail situation, for example, passing a test, the definition is obvious. But in other situations, it might not be so obvious. If you are looking for work that might consider, getting a first interview to be a success, or maybe you'd define success as getting a callback for a second interview.
For example, imagine that you just took and passed a difficult final exam. If only 65 of the 90 students in your class passed the exam, what was the success rate?
Divide the number of students who succeeded in this case, 65 by the number of attempts made. In this case, the number of attempts made is the number of students in the class, or 90.
65 ÷ 90 = 0.72.
Multiply this by 100 to convert it into a percentage.
ie, 0.72*100 = 72%.
So the success rate for the final exam is 72%.
So we can conclude that variables and success rates are connected. In the above example, the variables were no: of attempts made and the no: of students in the class. If this variable changes, then the value of the success rate also changes. Thus, there is a relationship between the variables and Success Rating.