The World of Statistics and Probability (1)

By Dr. Magdi Abadir, PhD

Article 18: An introduction to Probabilities (4)


4. Some basic rules of probabilities

Besides the two criteria for probability functions, enunciated at the end of the last article (17), there are some basic rules, which are essential for a more profound understanding of probabilities principles. Some of them can be understood intuitively, while others will be given without proof.

4.1 The probability of a complementary event

Let A be an event and A’ its complementary, then:
p(A^' )=1-p(A)
(1)

Such a result is obvious, for, if the probability that it will rain today is 0.7 (or 70%), then the probability that it will not rain will be 1-0.7=0.3 (30%).

4.2 The probability of space and empty set

Since the space S comprises all possible events, then its probability is simply 100%:
p(S)=1
(2)

On the other hand, the empty set ∅ , being complementary to S, its probability is nil, as per equation (1):
p(∅)=0
(3)

For example, if we choose a number from 1 to 10, then the probability that the chosen number will be greater than 0 is 1, while the probability that the number 12 will be chosen is zero.

Since the probability of sample space S is 100%, it is often referred to as “Certain event”, while the impossible occurrence of the empty set has prompted calling it “Impossible event”.

4.3 The probability of the union of two events

Let A and B be two events ⊂S. The probability that at least one of them will occur is the probability of A∪B. On the other hand, the probability that they will occur simultaneously is that of A∩B. The following rule allows calculating the probability of A∪B.
p(A∪B)=p(A)+p(B)-p(A∩B)
(4)


Let’s have a more detailed look at that last rule:
Consider the set of integers from 1 to 12. There are 6 even numbers among in that set: A={2,4,6,8,10,12} while there are 4 numbers divisible by 3: B={3,6,9,12}.
(i)


(ii)



The intersection of these two sets represents the numbers that are common to both:
(iii)


The union of these two sets represents the numbers that are present in at least one of the two sets:
(iv)




The following Venn diagram helps understanding the concept.


A special case occurs if the two sets have no common elements, which can be expressed as A∩B=∅. In that case, the application of rules (3) and (4) results in the simple result:
(5)



Reference:
W. Mendenhall, R. J. Beaver and B. M. Beaver “Introduction to Probability and Statistics” 14th Edition. Brooks – Cole, CENGAGE learning. (2013), Chapter 4


Dr. Magdi Fouad Abadir, Ph. D.: Dr. M. F. Abadir is currently a professor with the Chemical Engineering Department at the Faculty of Engineering, University of Cairo, Egypt. His major interests are in the fields of high temperature science and technology. During his career, he has supervised more than 110 MSc and PhD theses and published more than a hundred papers mostly in international peer review journals. He currently teaches courses in High Temperature Technology and Industrial Statistics. He is also a consultant for several industrial businesses.