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Spotting the Exception: Classical Methods for Outlier Detection in Data Science

Outliers are unique in that they often don’t play by the rules. These data points, which significantly differ from the rest, can skew your analyses and make your predictive models less accurate. Although detecting outliers is critical, there is no universally agreed-upon method for doing so. While some advanced techniques like machine learning offer...

Wed Feb 28, 2024 00:00
Leveraging ANOVA and Kruskal-Wallis Tests to Analyze the Impact of the Great Recession on Housing Prices

In the world of real estate, numerous factors influence property prices. The economy, market demand, location, and even the year a property is sold can play significant roles. The years 2007 to 2009 marked a tumultuous time for the US housing market. This period, often referred to as the Great Recession, saw a drastic decline […] The post Leveraging...

Fri Feb 23, 2024 02:30
Garage or Not? Housing Insights Through the Chi-Squared Test for Ames, Iowa

The Chi-squared test for independence is a statistical procedure employed to assess the relationship between two categorical variables – determining whether they are associated or independent. In the dynamic realm of real estate, where a property’s visual appeal often impacts its valuation, the exploration becomes particularly intriguing. But how often...

Mon Feb 19, 2024 23:29
Testing Assumptions in Real Estate: A Dive into Hypothesis Testing with the Ames Housing Dataset

In the realm of inferential statistics, you often want to test specific hypotheses about our data. Using the Ames Housing dataset, you’ll delve deep into the concept of hypothesis testing and explore if the presence of an air conditioner affects the sale price of a house. Let’s get started. Overview This post unfolds through the […] The post Testing...

Fri Feb 16, 2024 00:14
Inferential Insights: How Confidence Intervals Illuminate the Ames Real Estate Market

In the vast universe of data, it’s not always about what we can see but rather what we can infer. Confidence intervals, a cornerstone of inferential statistics, empower us to make educated guesses about a larger population based on our sample data. Using the Ames Housing dataset, let’s unravel the concept of confidence intervals and […] The post Inferential...

Tue Feb 13, 2024 06:17
Mastering Pair Plots for Visualization and Hypothesis Creation in the Ames Housing Market

Navigating the complex landscape of real estate analytics involves unraveling distinct narratives shaped by various property features within the housing market data. Our exploration today takes us into the realm of a potent yet frequently overlooked data visualization tool: the pair plot. This versatile graphic not only sheds light on the robustness...

Thu Feb 8, 2024 07:08

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