Name: Practical Applications of Statistics
Availability: InStock

Course Overview

A field in which statistics can play a vital role is quality control. Statistical tools assist in the monitoring and maintenance of product quality. In this course you will explore quality control and how statistical methods are utilized within quality control. You will practice preparation and analysis of charts and determine some additional quality control methods. Additionally, organizations are constantly faced with major strategic decisions. These critical choices are best made using decision analysis tools. Analysis may involve a large number of variables for each item or individual being studied. This type of study, known as multivariate analysis, seeks to shed light on the relationships between all the variables. You will examine several techniques to choose from when undertaking multivariate analysis.

You are required to have completed the following courses or have equivalent experience before taking this course:

Presenting Quantitative Data
Descriptive Statistics for Business
Making Predictions Using Statistical Probability
Inferential Statistics
Multivariable Comparisons
Statistical Forecasting

Key Course Takeaways

Explore quality control and how statistical methods are utilized within quality control
Examine popular tools such as run charts and control charts, as well as the formulas and procedures they require
Practice preparation and analysis of charts and determine some additional quality control methods
Evaluate one approach used in strategic decision making: decision trees
Define how decision trees are constructed and how optimal choices are determined
Assess the degree of risk that each choice carries and analyze a decision tree that you have constructed
Examine several techniques to choose from when undertaking multivariate analysis
Distinguish the techniques that fit each study based on considerations such as qualitative vs. quantitative variables
Review analysis guidelines to follow and determine the appropriate technique to use in a practice exercise

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How It Works

Course Length

2 weeks

Effort

3 to 5 hours of study per week

Format

100% online, instructor-led

Course Author

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Cindy van Es

Professor of Practice

Cornell Dyson School

Professor of Practice

Cindy van Es is Professor of Practice in the Charles H. Dyson School of Applied Economics and Management. She has a Ph.D. in statistics from Iowa State University and joined Cornell in 1988. Professor van Es teaches three courses in the undergraduate business program: Introductory Statistics, Business Statistics, and Impact Learning: South Africa. Her general area of interest is statistical education, with a focus on business applications and teaching through social justice examples.

Professor van Es currently serves as Director of Dyson’s Undergraduate Business Program. In this position, she provides strategic leadership and supervision on activities within the undergraduate program at the school, focusing specifically on implementation of the undergraduate curriculum and review of academic policies

Who Should Enroll

Entry level to executive professionals looking to uncover insights from data
Students who are pre-MBA or considering earning an MBA
Individuals interested in moving into an analyst role
Individuals seeking to leverage statistical or analytic skills
New, emerging, and experienced leaders
Consultants
Analysts and researchers
Entrepreneurs

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