Making a statistical determination utilizing experimental data requires the application of the statistical approach known as hypothesis testing. To identify which statement is best supported by the sample data, hypothesis testing compares two statements about a population that are mutually exclusive.
Buying a car is itself a hassle, one needs to look into all its features and make sure they all work properly. The second-hand car market is booming at unprecedented rates.
The company selling these cars makes certain claims about their cars. But finding out whether the claims companies make is a critical task, as one can get easily cheated.
Learn to test claims by the online reseller using hypothesis testing to effectively determine factors that actually govern the prices of used cars and determine the worthiness of the car.
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New automobile sales have slowed recently due to a lot of global factors.
The used car industry has continued to increase over the last few years and is currently larger than the new car market.
Analysts believe that, despite developing nations massive increase in the used vehicle industry, there is still room for future expansion in the organized sector, given the ratio of new automobiles to used cars in established markets like the US and Europe is 1:3.
This dataset is a sample of population that contains various features of used cars of an online reseller company.
The features of the used cars and the claims made by an online reseller company were analyzed using feature engineering and EDA.
The company made certain claims regarding their cars, and this case test these claims through hypothesis testing techniques.
This case assisted in learning about the numerous features of a car and how they are related to one another.
The case also creates various assertions regarding their products in order to acquire more benefits.
Used car analysis can help in managing strong revenue lines across different platforms and companies.
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