Statistics

(3 credits, alternate years, consult department) A post-calculus course in probability and statistics, which develops the theory of discrete and continuous distributions, expected value, random variables and inferential statistics. Prerequisites: C- or better in MAT116QR or 117QR, 208QR, and MAT112QR or permission of instructor.

(4 credits) This course, which is required for finance, economics, and actuarial science majors, is designed to introduce students to the fundamentals of econometric analysis. To this end, the primary focus is on simple and multiple linear regressions using cross-sectional data and time series regressions. We will also discuss highly useful extensions including regression with binary dependent variables, and regression analysis using panel data if time. The course will put a heavy emphasis on empirical applications; econometric theory will be discussed where necessary but will not be the central focus. Instead, we focus on estimating regression models using statistical packages such as R, SPSS, or Stata, and on interpreting the results. Both estimation and interpretation are highly marketable skills. The coverage of this course will be sufficient for SVEE Applied Statistics (SOA) and useful for CFA exams. More broadly, what you learn from this course will be valuable for a career in consulting, banking, insurance, and other related fields. Prerequisite: C- or better in MAT112QR and in MAT116QR or MAT117QR. Cross-Referenced: Cross-referenced in economics.

(3 credits) (NWCore option under Quantitative Reasoning) This course is a study of functions, limits, derivatives and integrals with an emphasis on techniques and applications in business, biology, health, and social sciences. Prerequisites: C- or higher in MAT109QR, or an ACT math score of at least 22 (SAT 550 or above), or permission of mathematics department chair. Note: Meets four times per week.

(4 credits) (NWCore option under Quantitative Reasoning) This course is a study of functions, limits, derivatives and integrals with a strong emphasis on both theory and applications. Prerequisites: C- or higher in MAT109, or an ACT math score of at least 24 (SAT 570 or above), or permission of mathematics department chair. Note: Meets four times per week.

(3 credits) (NWCore option under Quantitative Reasoning) This course is designed to introduce topics in probability and statistics with an emphasis on problems in the sciences. We will study discrete and continuous distributions, estimation and hypothesis testing, p-values, correlation, and simple linear regression. There will be three main sections in this course, examining descriptive statistics (the nature of data and how to summarize it), basic probability concepts (the mathematical study of uncertainty), and inferential statistics (making claims or decisions based on one or more sets of data). Prerequisite: ACT math score of 20 or above (SAT 510 or above), ALEKS placement exam score of 46 or above, concurrent enrollment in MAT100, or permission of instructor. Note: Students may receive credit for only one course among MAT116QR, MAT117QR and MAT208QR.

(3 credits) (NWCore option under Quantitative Reasoning) The course is designed to study statistical methodology commonly used in business including descriptive statistics (the nature of data and how to summarize it), basic probability concepts, and inferential statistics (making claims or decisions from one or more sets of data using confidence intervals and multiple types of hypothesis testing). Prerequisite: ACT math score of 20 or above (SAT 510 or above), ALEKS placement exam score of 46 or above, concurrent enrollment in MAT100, or permission of instructor. Note: Students may receive credit for only one course among MAT 116QR, MAT 117QR and MAT 208QR.

(4 credits) (NWCore option under Quantitative Reasoning) This course is a study of statistical methodology commonly used in the biological and health sciences. Material includes basic descriptive methods in statistics, foundational concepts in probability, confidence intervals, hypothesis tests involving one or two samples, correlation and regression including multiple regression, contingency tables, and ANOVA. Students will also complete a substantial project. Prerequisite: ACT math score of 20 or above (SAT 510 or above), ALEKS placement exam score of 46 or above, or concurrent enrollment in MAT100. Note: Students may receive credit for only one course among MAT116QR, MAT117QR and MAT208QR.

(4 credits) In today's data-driven world, statistical literacy and data analysis are increasingly important skills. This course introduces students to the fundamental aspects of programming, such as data types, procedural abstraction, control structures, and iteration, with a focus on the application of these concepts to statistics and data analysis. Topics will include the programmatic implementation of summary statistics, correlation, linear modeling, and clustering. A statistics-focused language, such as R, is covered in-depth for the purpose of gaining mastery of these principles. Prerequisites: Math ACT subscore of 20 or above (SAT 510 or above)

(3 credits; alternate years, consult department) A course building student skills in working with large data sets gathered from real-world studies and experiments. Students will learn and experience best practices for data-type, range, constraint, code, cross-reference, structured, and textual validation. Prerequisites: CSC170 and one of the following: MAT116QR, MAT117QR, MAT208QR or PSY215.

(4 credits) (Writing intensive) Skills in statistical analysis and interpretation of psychological research are developed in this course with emphasis on correlation, regression and analysis of variance. Basic skills learned in Research Methods I are extended through practice in conducting, analyzing and reporting research using statistical software such as SPSS. Prerequisite: PSY215.

(3 credits, 2:1) Based on a Christian worldview, this course examines the epistemological (theoretical, scientific and ethical) foundation of nursing as a human science, specifically as an approach to promote shalom and social justice. It surveys the types, methods and uses of research and informatics to enhance client outcomes and to deliver holistic nursing care for all clients and at all levels of prevention. The course emphasizes the knowledge and aptitudes needed by professional nurses to manage and utilize health care information and related technologies, critically evaluate research studies and integrate evidence in all phases of the nursing process. In the practicum, students analyze a variety of health care technologies and present an evidence-based practice project. Prerequisites: Nursing major with senior class standing, KIN370, MAT208QR and SOC101SS. Concurrent requisite: NUR440.

(4 credits, alternate years, consult department) Evidence-based reasoning is central to professional leadership, public life, and everyday decision-making. This course trains students to design, analyze, and evaluate quantitative research. Students develop these skills by using survey and statistical software to carry out hands-on projects that matter to them and their community. Cross-Referenced: Cross-referenced in criminal justice.