Skip to main content

Percentage Problems on overall percentage change - Module [ 1 ]

                                  Module -1 

Let us discuss , if the problems is based on percentage change.

1. If the salary of person increased by 10% and then decreased by 10% , what is the overall percentage change in the salary?

Ans : 
                Let us assume the salary of person is 100% , then it is increased by 10% so it becomes 110%.
Now it is decreased by 10% from 110 that is 11, so 
                110 - 11 = 99
                Initial salary is 100% , now the salary is 99% that is 1% change in the percentage. 


2. If the cost price of an article is 100 , while selling he increased the cost price by 20% and then decreased 20% . what is profit or loss percentage.  ?

Ans : 
                Let us assume the cost price of an article  is 100% that is 100, then it is increased by 20% so it becomes 120%.
Now it is decreased by 20% from 120 that is 24, so 
                120 - 24 = 96
                Initial cost price of an article is 100% , now it becomes is 96% that is 4% loss to that person . 
                
        

3. If the salary of person increased by 30% and then decreased by 30% , what is the overall percentage change in the salary?

Ans : 
                Let us assume the salary of person is 100% , then it is increased by 30% so it becomes 130%.
Now it is decreased by 30% from 130 that is 39, so 
                130 - 39 = 91
                Initial salary is 100% , now the salary is 91% that is 9% change in the percentage.    



Conclusion :

  1. For `N%` increased and `N%` decreased then overall change is (N/10)^2 decreased.
  2. If percentage increased and then decreased or decreased and then increased then output will be same.

Example : 

  • 10 % increased and 10% decreased , then overall change is 1% decreased.
  • 20 % increased and 20% decreased , then overall change is 4% decreased.



Learn Data Science Material which helps to learn concepts in Python, Statistics , Data Visualization, Machine Learning , Deep Learning. And it contains Projects helps to understand the flow of building model , and what are the necessary steps should be taken depending on the data set. Interview Questions helps to crack the interview. 




Learn Python from basics to advanced. 



Join ML in python channel in telegram , Where you can learn every concepts in Python, Statistics, Data Visualization, Machine Learning, Deep Learning.

  

Join Aptitude Preparation channel in telegram , this channel helps to crack any interview.

Comments

Popular posts from this blog

Practice Problems in Python [ Part - 1 ]

                                            Python 1. Write a program which will find all such numbers which are divisible by 3 but are not a multiple of 7,between 2000 and 3200 (both included). soln :            def filter_numbers():           """           function to filter out numbers by extracting numbers           which is divisible by 3 but not multiple of 7.           """           filtered_list=[]           for i in range(2000, 3201):               if (i%3==0) and (i%7!=0):                   filtered_list.append(str(i))    ...

Python Introduction

 Introduction  Python is developed by Guido Van Rossum and released in 1991. Python is high level, interpreted, general purpose programming language. It is one of the top five most used languages in the world. Currently there are 8.2 million developers who code in Python. Python is one of the most preferred languages in the field of Data Science and Artificial Intelligence. Key Features Python is an interpreted language, unlike compiled languages like Java, C, C++, C#, Go etc., Python codes are executed directly even before compiling.  Python is Dynamically typed, no need to mention type of variable before assigning. Python handles it without raising any error. Python codes can be executed on different software or operating systems without changing it. Python supports both Functional and Object oriented programming as it supports creating classes and objects. Python has high number of modules and frameworks support. Python is free and Open Source, which means it is availa...

Types of Machine Learning

                                   Machine Learning  Machine Learning is an application of artificial intelligence where a computer/machine learns from the past experiences (input data) and makes future predictions. It finds the pattern in the data , based on the pattern it gives the future predictions from the unseen data.   It is a way to understand the data and find the patterns in that. Types of Machine Learning        Supervised Machine Learning An algorithm learns from example data and associated target responses that can consist of numeric values or string labels.  Generally the algorithm should find the pattern how input and output is mapped           Two types of Supervised Learning: Regression:  The problem is regression type when the output variable is real or continuous. Example :  Predicting salar...