Hypothesis Testing for an Automobile Reseller

This project enables the learners to apply various statistical tests to validate the hypotheses.

Hypothesis Testing on Vehicle Features for an Online Reseller of Used Cars
  • 1 bar graph
    Difficulty: Beginner

    No prior knowledge or experience with data required.

  • Asset 1
    Duration: Approximately 3 hours

Case Overview

  • 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.

What’s included


Lifetime Access

Access this project for life once completed


Flexible Scheduling

Start learning online immediately, at your own pace


Desktop Only

We recommend completing this project on a desktop

Skills You Will Learn

Data Management

Data Visualization

Business Analysis

Statistical Analysis and Hypothesis Testing

Data Cleaning

Associated Learning Tracks

Case Context

  • 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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