A STUDY ON APPLICATION OF BAYES’ THEOREM IN APPIN TECHNOLOGY

International Journal of Instrumentation and Control Systems (IJICS) Vol.9, No.1, January 2019
DOI : 10.5121/ijics.2019.9101 1
A STUDY ON APPLICATION OF BAYES’ THEOREM
IN APPIN TECHNOLOGY
¹Durga Devi.S ,²Elackya.S ,³Abhinandana.R
¹ Assitant professor, Department of Mathematics ,Sri Krishna Arts and Science College,
Coimbatore.
² Scholar, Department of Mathematics , Sri Krishna Arts and Science College,
Coimbatore.
³ Scholar, Department of Mathematics , Sri Krishna Arts and Science College,
Coimbatore.
ABSTRACT
Mathematics is the only word that conquers the whole world. Mathematics comprises each and every
concept that exists in this world. Statistics and probability are the two main concepts that are dealing with
the statistical survey of this world. Of these two concepts, Probability has one of the Main applications of
dealing with mathematics that is very much useful in real life applications. In this paper, Bayes’ Theorem
and its applications are discussed deeply with its application problems using the data which was collected
for the company named Appin Technology during the industrial exposure training. This application helped
me to give some useful ideas to the company to improve their production level.
1. INTRODUCTION
Bayes’ theorem or Bayes’ law describes the probability of an event. An Essay towards solving
problems in the Doctrine of Chances is generally a work on theory of probability and it was
published in the year 1763.Bayes’ plays an important role in medical field, industries and in some
companies. I have used this theorem in Appin technology which is an IT based company located
in Coimbatore. From this company I have collected some previous year data to give an effective
conclusion to the company.
2. BAYES’ THEOREM
2.1 Statement Of Bayes’ Theorem
Let A1, A2 ………... An be n mutually exclusive and exhaustive events. Let B be an
independent event such that B ⊂ ⋃ 𝐴𝑖
𝑛
𝑖=1 is the conditional probability of B given that 𝐴𝑖 has
already occurred, then
𝑃( 𝐴𝑖| 𝐵) =
𝑃(𝐵|𝐴𝑖) 𝑃(𝐴𝑖)
∑ 𝑃(𝐵| 𝐴ᵢ)𝑃(𝐴ᵢ)𝑛
𝑖=1
3. PROBLEM USING BAYES’ THEOREM
3.1 Question
Consider an application development in a company for past two years.Applications in the
company are basically classified into five categories as educational application, entertainment
application, purchasing application.

2
In the year of 2016 company developed 20 educational applications, 14 entertainment
applications and 4 purchasing applications.
In the year of 2017 company developed 18 educational applications, 17 entertainment
applications and 9 purchasing applications.
There is equal probability in selecting application from the company for past two years.
Choose any application at random, what is the probability of the chosen application and that the
application is chosen from the year 2017?
NOTE: To find the probability for all categories of application and to concentrate in the
particular category which has least probability for best production of the company.
3.1.1 Solution
Steps for finding solution using Bayes’ theorem
STEP 1: Find the normal distribution from the given data
STEP 2: Calculate the conditional probability for the given data
STEP 3: Finally use the Bayes’ theorem to generate the solution
3.1.2 Given
Let A be application developed in the year 2016 andP(A) be the probability for the year 2016.
Let B be the application developed in the year 2017 and P(B) be the probability for the year 2017.
3.1.3 Steps
STEP 1: NORMAL DISTRIBUTION
First to find the normal distribution for both years (2016 and 2017)
Normal distribution for the year 2016 is
𝑃( 𝐴) =
year 2016
number of years
= 1/2
Normal distribution for the year 2017 is
S.NO YEAR
APPLICATIONS
2016 2017
1 Educational application 20 18
2 Entertainment application 14 17
5 Purchasing application 4 9

3
𝑃( 𝐵) =
year 2017
number of years
= 1/2
STEP 2: CONDITIONAL PROBABILITY
EDUCATIONAL APPLICATION:
Let E be the educational application and P(E) be the probability for educational application
To find the probability of choosing the educational application in the year 2016.
P(E|A) =
Totalnumberofeducationalapplication
Totalnumberofapplicationsintheyear 2016
= 20/56
To find the probability of choosing the educational application in the year 2017
P(E|B) =
Totalnumberofeducationalapplication
= 18/64
ENTERTAINMENT APPLICATION:
Let D be the gaming application and P(D) be the probability for entertainment application
To find the probability of choosing the entertainment application in the year 2016.
P(D|A) =
Totalnumberofentertainmentapplication
= 14/56
To find the probability of choosing the entertainment application in the year 2017
P(D|B) =
Totalnumberofentertainmentapplication
= 17/64
PURCHASING APPLICATION:
Let F be the purchasing application and P(F) be the probability for purchasing application
To find the probability of choosing the purchasing application in the year 2016.
P(F|A) =
Totalnumberofpurchasingapplication
= 4/56
To find the probability of choosing the purchasing application in the year 2017
P(F|B) =
Totalnumberofpurchasingapplication
= 9/64
STEP 3: BAYES’ THEOREM
EDUCATIONAL APPLICATION:
To find the probability for an educational application in the year 2017 i.e. P(B/E)

4
𝑷( 𝑩| 𝑬) =
𝐏(𝐄|𝐁) . 𝐏(𝐁)
𝐏(𝐄|𝐁) . 𝐏(𝐁) + 𝐏(𝐄|𝐀) . 𝐏(𝐀)
=
(𝟏𝟖 𝟔𝟒 × 𝟏 𝟐 )⁄⁄
(𝟏𝟖 𝟔𝟒 × 𝟏 𝟐 ) + ( 𝟐𝟎 𝟓𝟔 × 𝟏 𝟐 )⁄⁄⁄⁄
=
𝟔𝟑
𝟏𝟒𝟑
Thus, the probability for an educational application in the year 2017 is63/143
ENTERTAINMENT APPLICATION:
To find the probability for an entertainment application in the year 2017 i.e. P(B/D)
𝑷( 𝑩| 𝑫) =
𝐏(𝐃|𝐁) . 𝐏(𝐁)
𝐏(𝐃|𝐁) . 𝐏(𝐁) + 𝐏(𝐃|𝐀) . 𝐏(𝐀)
=
(𝟏𝟕 𝟔𝟒 × 𝟏 𝟐 )⁄⁄
(𝟏𝟕 𝟔𝟒 × 𝟏 𝟐 ) + ( 𝟏𝟒 𝟓𝟔 × 𝟏 𝟐 )⁄⁄⁄⁄
=
𝟏𝟕
𝟑𝟑
Thus, the probability for an entertainment application in the year 2017 is17/33
PURCHASING APPLICATION:
To find the probability for the purchasing application in the year 2017 i.e. P(B/F)
𝑷( 𝑩| 𝑭) =
𝐏(𝐅|𝐁) . 𝐏(𝐁)
𝐏(𝐅|𝐁) . 𝐏(𝐁) + 𝐏(𝐅|𝐀) . 𝐏(𝐀)
=
(𝟗 𝟔𝟒 × 𝟏 𝟐 )⁄⁄
(𝟗 𝟔𝟒 × 𝟏 𝟐 ) + ( 𝟒 𝟓𝟔 × 𝟏 𝟐 )⁄⁄⁄⁄
=
𝟓𝟒
𝟗𝟓
Thus, the probability for the purchasing application in the year 2017 is54/95
4. CONCLUSION
In the year 2017, purchasing application has the highest probability of 54/95 and educational
application has the lowest probability of 63/143
By concentrating in educational application (lowest probability), the company will achieve the
best production when compared to previous years.

5
Thus through this project I came to known that the Bayes’ theorem is one the easiest method to
find solution and helps to conclude the result for forthcoming years and prepare accordingly.This
is also useful to compare the outcomes of a company between two year.
The problem which I have worked is purely based on IT field where different applications are
developed in different fields.
Future work of Bayes’ theorem is that the applications can be extended to some other field where
there are any difficulties to predict the result. For example, we can try to apply Bayes’ theorem in
medical field to find the result in the diagnoses of deadly diseases.
REFERENCE
[1] Pradip Kumar Ghosh, Theory of Probability and Stochastic Process
[2] T.Veerarajan, Probability,Statistics and Random Process [Fourth edition]
[3] Dr.R.Pugalarasu, Probability and Random Process
[4] VijayK.Rohatgi and A.K.MD.Ehsanes Saleh, An Introduction to Probability and Statistics [Second
edition]
[5] A.Singaravelu and C.Vijayalakshmi, Probability and Statistics
[6] www.appintechnology.com

A STUDY ON APPLICATION OF BAYES’ THEOREM IN APPIN TECHNOLOGY

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