Statistics helps the decision making process. The research focuses on probability theory. The research includes subjective probability. Statistics enhances the probability process.

There is a 95 percent probability that I will get an “A” grade.  Davar Khoshnevisan (2007) emphasized, using probability formula, the probability is arrived at by dividing the number of outcomes of the occurrence by the total number of equally likely test outcomes.   The factors include the actual test results and the total test taken.  Using the formula, 19 “A” occurrences received in 20 tests generates a 95 % probability (19/20).  I believe that all students in my class will not have similar probability assessment that I have, based on Marina Cohen’s (2007) probability textbook.  Upon inquiry from my classmates, some got “B” grades in most of their test scores.  Other classmates generated lesser “C” test grades.  Computing, 1 classmate having 1 “A” grade in 20 tests receives a 5 % probability (1/ 20).

Ken Black ( 2009) theorizes subjective probability is the person’s subjective or biased estimate of the outcome of an event.  The probability formula, prior paragraphs is not used. One example of a subjective probability statement is “I believe I have a 100 percent probability of getting an ‘A’ grade because I studied for 10 hours”.   Using the business environment, I believe there is a 97 percent probability of generating profits because of the high store products’ demand.

I use subjective probability assessment.  The assessment is used to determine my prospective score. The process determines my future actions. The process helps me make adjustments to increase future outcomes.  The subjective process improves my test preparation schedule.

Summarizing, Statistics enhances the decision making process. Probability increases the accuracy of projecting future occurrences. Subjective probability is a biased statistics approach. Clearly, Statistics improves the probability process.