Name: Inferential Statistics
Availability: InStock

Course Overview

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 walk through the multiple methods of collecting samples and examining margin of error and confidence intervals, including how they are calculated. You will then explore another area of inferential statistics called hypothesis testing to start with a hypothesized value. One of the most important measures to calculate is the p-value, which helps gauge the significance of your findings. You will observe the role that p-values play in hypothesis testing and the way in which they are calculated.

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

Key Course Takeaways

Examine margin of error and confidence intervals, including how they are calculated
Review the criteria for determining sample sizes and complete an exercise on interpreting confidence intervals
Explore the six steps of hypothesis testing, from developing hypotheses to stating a conclusion
Identify the means of testing a hypothesis and complete a sample test
Observe the role that p-values play in hypothesis testing and the way in which they are calculated
Practice computing p-values and interpreting them in Excel

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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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