Understanding the factors that influence home prices is critical for buyers, sellers, and real estate professionals alike. Home prices are shaped by a variety of characteristics, including size, number of bedrooms, number of bathrooms, and location. This study aims to explore these factors using data on homes for sale in four states: California, New York, New Jersey, and Pennsylvania. By analyzing the data, we can determine which characteristics most strongly influence home prices and whether significant price differences exist across states. To achieve these objectives, statistical methods such as regression analysis and ANOVA are employed. Regression analysis is used to evaluate the relationship between home prices and specific characteristics, both individually and collectively, while ANOVA is used to test for significant differences in prices among states. This study focuses on answering five key questions, including how size, bedrooms, and bathrooms influence home prices in California, and whether location significantly impacts prices across the four states. The findings of this study provide valuable insights into the real estate market, helping stakeholders better understand price dynamics and make informed decisions.

This report analyzes the sleep patterns and associated factors among college students using the “SleepStudy” dataset obtained from Lock5Stat Datasets. The dataset consists of 253 observations on 27 variables, encompassing various aspects of students’ lives, such as academic performance, mental health, and lifestyle choices. The objective of this analysis is to answer key research questions that delve into the relationships between sleep habits, psychological well-being, and academic performance. Insights gained will contribute to understanding the factors that influence students’ overall well-being and academic success.

This report provides an analysis of the “CollegeScores4yr” dataset, which contains data about universities, including variables such as tuition, faculty salary, and student demographics. The aim is to explore these variables using descriptive statistics and visualizations to gain insight.