Hypothesis Testing for Regional Real Estate Company
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Introduction
By understanding the initial context or framework of the scenario, analysts can identify patterns and
trends within the property transactions in the Pacific region. This analysis can help stakeholders make
informed decisions regarding investments, market strategies, and policy development. Additionally, a
thorough understanding of the initial context allows for a more comprehensive assessment of the
potential impact and implications of any changes or developments in the property market. Hypothesis
Test Setup
The study examines the cost per square foot in the Pacific area, with the null hypothesis suggesting it is
equal to the average cost. The alternative hypothesis suggests it exceeds the average cost. The
distribution test is used, focusing on the left tail of the distribution. Data analysis preparations include
data cleaning, transformation, and exploration. Data cleaning removes errors and inconsistencies, while
transformation converts variables to meet test assumptions. Exploration examines distribution, patterns,
and relationships using descriptive statistics and visualizations. These steps ensure the validity and
meaningfulness of the data analysis.
Data Analysis Preparations
