In today's data-driven job market, understanding hypothesis testing is crucial for business leaders. This course, offered by Tufts University, provides a comprehensive guide to conducting hypothesis tests using Python and Excel for population mean and proportion. You'll also delve into the central limit theorem and its practical applications in the workplace. The course culminates in a hands-on experiment planning exercise, allowing you to apply your newfound skills to real-world scenarios.
Throughout the course, you'll explore the basics of hypothesis testing, undertake practice quizzes, and engage in a peer review assignment to evaluate business applications. With a focus on practical skills, this course equips you to confidently apply hypothesis testing techniques in your professional environment.
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Get Started / More InfoExplore hypothesis testing fundamentals, central limit theorem, and practical applications in this comprehensive course designed by Tufts University experts.
Delve into the central limit theorem for sample means and learn its significance in statistical analysis.
Explore the central limit theorem for sample proportions and its implications in statistical inference.
Get introduced to the basics of hypothesis testing, including its significance and real-world applications.
Conclude the course with a comprehensive recap and quizzes to test your understanding of hypothesis testing.
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