In the business community, managers must make decisions based on what will happen to such things as demand, costs, and profits. Her general area of interest is statistical education, with a focus on business applications and teaching through social justice examples. In order to graduate, all students must pass three writing-intensive courses after their freshman year. Computer analysis of data using the statistical package SAS … In this course, you will learn foundational concepts in statistics and how to collect and interpret data while applying statistics and statistical thinking to business problems. Additionally, organizations are constantly faced with major strategic decisions. When done in tandem with accurate time series analysis, it enables sound prediction of future values. Applications are covered through practical data analysis examples. This course studies the basic principles and implementation techniques of descriptive statistics, sampling, hypothesis testing, one-way ANOVA, and regression analysis. Studies the principles and techniques of interval estimation and hypotheses testing, and testing for means and proportions. This modal dialog contains payment options. You will investigate the comparison of multiple means, including the experiment designs to choose from and the three-step process to follow. Courses. This certificate program is designed to help you not only gain a strong working knowledge of statistical concepts but also the ability to apply them to your data to make better business decisions. It is often not feasible to capture parameters for an entire population; however, it's necessary to gather statistics to estimate population parameters. In this course you will examine how to display quantitative data through tables as well as best practices you should follow to determine which method is the best choice for communicating the data at hand. In the business community, managers must make decisions based on what will happen to such things as demand, costs, and profits. td {border: 1px solid #ccc;}br {mso-data-placement:same-cell;}It is recommended to only take this course if you have completed Presenting Quantitative Data or have equivalent experience. Catalog Course Description This course applies students' interpretation of basic mathematical concepts to common business usage covering such topics as percentages, interest, trade, bank and cash discounts, payroll, time value of money, and business loans. Catalog Home > Course Descriptions > Quarter > Undergraduate > Business Statistics, STAT 201 Introduction to Business Statistics 4.0 Credits. One of the most important measures to calculate is the p-value, which helps gauge the significance of your findings. Cindy van Es is professor of practice in the Dyson School of Applied Economics and Management. These critical choices are best made using decision analysis tools. Catalog Home > Course Descriptions > Quarter > Graduate > Business Statistics Business Statistics . A layer of complexity can be added to forecasting in the form of seasonality, where the time series being studied regularly changes with each season. Topics include the dynamic nature of quality, Six-Sigma implementation, and the roles of management in planning and guiding quality efforts. Additionally, in the practice of business statistics, it is essential to capture accurate data but … Course Number: Course Name: Description: STAT 1000Q: Introduction to Statistics I: A standard approach to statistical analysis primarily for students of business and economics; elementary probability, sampling distributions, normal theory estimation and hypothesis testing, regression and correlation, exploratory data analysis. If you have taken a statistics course in the past, you may find some of the topics in this course familiar. Forecasting can be found in every corner of the business world today. In this course, you will identify various numerical measures including percentiles, range, variance, and standard deviation. For additional information, and an up-to-date list of the writing-intensive courses being offered, students should check the Drexel University Writing Center page, 3141 Chestnut Street, Philadelphia, PA 19104. STAT 331 Introduction to Data Mining for Business 4.0 Credits. STAT 202 Business Statistics II 4.0 Credits. This second course in business statistics focuses on widely used data analysis techniques in business and economics. Randomized, factorial, fractional and Plackett-Burnam designs are covered with an emphasis on business applications. All applications are business-oriented. An applied statistics course on planning, statistical analysis and interpretation of experiments of various types. STAT 202 Business Statistics II 4.0 Credits. “I would found an institution where any person could find instruction in any study.”. Just as there is a need to look at two populations, the same is true for larger groups. Hear eCornell students share their stories. Without it, you’re flying blind. STAT I199 Independent Study in STAT 0.0-12.0 Credits. Statistics 2, business statistics, and several other junior and senior level courses; and it is required for many degrees in business, the sciences, and the social sciences. Fall, Winter. Offered by Rice University. Commerce and Engineering students only. The fundamentals of managerial and statistical methods for quality monitoring and improvements are covered. You will then examine stationary data where no substantial change is taking place. Yet in order to integrate data into your decision-making processes, you need a set of tools to transform raw data into a valuable asset. COURSE DESCRIPTION Statistics is the science that deals with the collection, description, analysis, interpretation, and presentation of data. Analysis may involve a large number of variables for each item or individual being studied. Required Course Content and Direction. In this course you will continue exploring forecasting by examining stationary time series and the situations in which they most often occur and practice forecasting techniques and stationary time series analysis. A field in which statistics can play a vital role is quality control. Students are advised to take one writing-intensive class each year, beginning with the sophomore year, and to avoid “clustering” these courses near the end of their matriculation. td {border: 1px solid #ccc;}br {mso-data-placement:same-cell;}It is recommended to only take this course if you have completed Presenting Quantitative Data, Descriptive Statistics for Business, Making Predictions Using Statistical Probability, Inferential Statistics, Multivariable Comparisons, and Statistical Forecasting or have equivalent experience. Statistics Course Descriptions Undergraduate Courses. Course Description This course covers frequency distributions, descriptive measures, probability concepts, probability distribution, sampling, estimation, hypotheses testing for means and proportions, simple regression and correlation. In this course, you will explore the use of time series analysis and the four components of time series data. Winter, Spring. You will then explore another area of inferential statistics called hypothesis testing to start with a hypothesized value. Focuses on current theory and practice in Six-Sigma implementation for quality monitoring and improvement. STAT 325 Six-Sigma Quality Implementation 4.0 Credits. Broad Course Objectives: This course supports the following goals of the Math Department: Engage students in sound mathematical thinking and reasoning. Commerce and Engineering students only. Fall, Spring, Summer. Course Description: Statistics is a course that is designed to give you the basic tools of collecting, analyzing, presenting, and interpreting data. In this course you will explore quality control and how statistical methods are utilized within quality control. VII. td {border: 1px solid #ccc;}br {mso-data-placement:same-cell;}It is recommended to only take this course if you have completed Presenting Quantitative Data, Descriptive Statistics for Business, and Making Predictions Using Statistical Probability or have equivalent experience. This course introduces students to the fundamental ideas of data mining methods, including dimension reduction, cluster, classification and regression trees, and logistic regression. This introductory first course in business statistics focuses on applications of data analysis and statistics in business and economics.