Enrollment Trends by Sex and US Residence Status for Undergraduate and Graduate Students at a State Institution (Fall 2017–Spring 2024)

The datasets on student sex and US residence status for undergraduate and graduate students were obtained from publicly available institutional research data provided by the South Dakota School of Mines and Technology's Institutional Research Tableau dashboard on August 2, 2024. These datasets have been formatted for analysis and include student counts across 14 semesters (Fall 2017 – Spring 2024). Datasets: SD Mines Student Enrollment.xlsx – Contains student counts by degree type, gender, and US residence status, along with visual charts. enrollment_by_sex.csv – Number of students per semester by sex from Fall 2017 to Spring 2024. enrollment_by_residence_status.csv – Number of undergraduate and graduate students per semester categorized by US residence status from Fall 2017 to Spring 2024. Code: student_enrollment_analysis.py - Python script that performs Shapiro-Wilk test for normality, Levene’s test for equal variance, independent t-tests for sex and residence status comparisons, and Regression analysis to examine enrollment trends over time for sex and residence status. This repository provides both the datasets and analysis code to support research on student demographic trends at the instituition.本数据集涵盖本科生与研究生的性别及美国居留身份相关数据，其来源于2024年8月2日从南达科他州矿业与技术学院（South Dakota School of Mines and Technology）的机构研究Tableau仪表盘公开获取的校内研究数据。本数据集已完成分析适配格式化，涵盖2017年秋季至2024年春季共14个学期的学生人数统计数据。 数据集： SD Mines Student Enrollment.xlsx：包含按学位类型、性别及美国居留身份划分的学生人数统计，同时附带可视化图表。 enrollment_by_sex.csv：2017年秋季至2024年春季各学期按性别划分的学生人数统计。 enrollment_by_residence_status.csv：2017年秋季至2024年春季各学期按美国居留身份分类的本科生与研究生人数统计。 代码： student_enrollment_analysis.py：用于执行正态性Shapiro-Wilk检验（Shapiro-Wilk test）、方差齐性Levene检验（Levene’s test）、用于性别与居留身份对比的独立样本t检验，以及用于分析性别与居留身份随时间变化的入学趋势的回归分析的Python脚本。 本代码仓库同时提供数据集与分析代码，用于支撑针对该院校学生人口统计趋势的相关研究。