Hypothesis Testing in Business
Master confidence intervals and hypothesis testing for business decision-making. Learn to measure uncertainty and analyze differences using Excel.
Master confidence intervals and hypothesis testing for business decision-making. Learn to measure uncertainty and analyze differences using Excel.
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Business Statistics and Analysis Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
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English
پښتو, বাংলা, اردو, 2 more
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What you'll learn
Construct and interpret confidence intervals for business decision-making
Calculate appropriate sample sizes for various business research needs
Perform hypothesis tests for population means and proportions
Distinguish between and apply single-tail and two-tail hypothesis tests
Understand and minimize Type I and Type II errors in statistical analysis
Conduct difference-in-means tests using appropriate approaches for various scenarios
Skills you'll gain
This course includes:
3.9 Hours PreRecorded video
27 assignments
Access on Mobile, Tablet, Desktop
FullTime access
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There are 4 modules in this course
This comprehensive course provides essential training in confidence intervals and hypothesis testing for business applications. The curriculum begins with a foundational understanding of the t-distribution and introduces statistical concepts like t-statistics and z-statistics as building blocks for constructing confidence intervals. Students learn how to interpret confidence intervals and apply them to business scenarios, including calculating appropriate sample sizes and estimating population proportions. The course then transitions to hypothesis testing, teaching the four-step process for conducting tests and distinguishing between single-tail and two-tail approaches. Special attention is given to understanding Type I and Type II errors and strategies to minimize them. The final module focuses on difference-in-means tests across various scenarios, including equal variance, unequal variance, and paired sample tests. Throughout the course, concepts are reinforced through practical business applications using Microsoft Excel, emphasizing how these statistical tools can enhance business decision-making by quantifying risk and uncertainty.
Confidence Interval - Introduction
Module 1 · 6 Hours to complete
Confidence Interval - Applications
Module 2 · 4 Hours to complete
Hypothesis Testing
Module 3 · 6 Hours to complete
Hypothesis Test - Differences in Mean
Module 4 · 7 Hours to complete
Fee Structure
Instructor
Associate Professor of Management
Sharad is a faculty of Management at the Jones Graduate School of Business at Rice University, Houston, Texas. He holds a Ph.D. from Carnegie Mellon University, and his expertise lies in Business statistics and data analytics.
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