The statistical methods portion of the doctor of nursing practice (DNP) project can be challenging for students. A school of nursing, in collaboration with the University's Department of Research, created a statistical methods algorithm for students to use while developing their DNP projects (see Supplemental Digital Content Algorithm, available at: http://links.lww.com/NE/B217). The purpose of the statistical algorithm is to (1) improve student statistical competence applicable to the DNP project, (2) provide direction when selecting appropriate statistical methods for data analysis for the DNP project, and (3) help decrease student stress and frustration regarding statistical methods. The algorithm is given to students during the design phase of the second DNP project course, providing students with common statistical methods to choose from, based on project design and objectives. The options include paired-samples t test, Wilcoxon signed rank test, chi-square test, Fisher's exact test, and descriptive statistics. Students determine which method(s) to use, with guidance from project faculty. Students learn to run, analyze, and present the statistical tests using IBM SPSS in a research methods course, which is taken concurrently with the second DNP project course. Improving students' statistical competence promotes appropriate DNP project design methods and ensures outcomes are evaluated and interpreted correctly, preparing DNP students to improve practice and care outcomes.