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Julia Huang Introduction  Hypertension is one of the leading risk factors for cardiovascular disease, affecting millions of adults worldwide. Elevated blood pressure increases the risk of heart disease, stroke, and kidney disease, which is why I consider it such a critical public health concern. Because blood pressure is influenced by a mix of biological and…

Prepare Your Data for Accurate Statistical Analysis A well-organized dataset is essential for successful quantitative research. Whether you are a DNP, PhD, EdD, DBA, or master’s student, I can help you prepare your data for statistical analysis at Moore Statistics Consulting, LLC. I develop professional codebooks and accurate, organized datasets ready for analysis. A codebook…

Julia Huang Introduction MATLAB Online is a powerful web-based tool for data analysis and visualization. It is especially useful when working with statistical data. If you have any needs for presenting relationships between variables, a scatter plot with a trend line is one of the most common and useful methods. In this tutorial, I will…

By Jessica Umoren Have you ever jumped to the worst possible conclusion after seeing a piece of bad news?  Maybe you got a strange email from a professor and immediately thought you failed the class, or you felt a small symptom and convinced yourself you had a serious illness. Humans are naturally wired to panic…

By Scarlett Barge In statistics, autocorrelation refers to the correlation of a variable with itself across time. Rather than examining relationships between different variables, autocorrelation measures whether past values of a series help explain its current behavior. This concept is central to time series analysis and plays an important role in regression diagnostics, forecasting, and…

By Scarlett Barge Many relationships we wish to study are not well captured by classic linear regression. In non-linear models, an increase in X can have different effects depending on the starting value of X. These models allow us to capture curvature, diminishing returns, and other patterns that linear models miss. Polynomial Models Polynomial models…

By Jessica Umoren 5 Reasons SAS Still Matters Although Python and R dominate modern data science education, SAS continues to play a major role in industries where data accuracy, compliance, and long-term analysis are critical. For data science students in 2026, learning SAS can provide a helpful advantage. 1. Strong Foundations in Advanced Statistical Analysis…

By Jessica Umoren SAS (Statistical Analysis System) is a powerful statistical programming platform made for advanced analytics, especially on large administrative datasets. One of its most prominent and established clients is the U.S. Food and Drug Administration (FDA), a relationship that dates back decades and includes a recent 40-year partnership extension worth $49.9 million to…

By Scarlett Barge A two-way Analysis of Variance (ANOVA) is a statistical test used to examine how two categorical independent variables (IVs) affect a quantitative dependent variable (DV). In addition to assessing the individual (main) effects of each independent variable, a two-way ANOVA also allows us to test whether there is an interaction effect between…

By Jessica Umoren What is Gerrymandering? Gerrymandering is Congress redrawing district lines in order to favor certain political parties, normally for a congressperson or political party to win or maintain a particular district, or to gain more electoral votes for a presidential election. Gerrymandering is very present in today’s political climate, and both political parties…