Hypothesis Testing in R

Starting at USD 39.00
4 hours duration

Learn how and when to use hypothesis testing in R, including t-tests, proportion tests, and chi-square tests.

Explore the world of Hypothesis Testing in R, a statistical technique that allows you to ask meaningful questions about your datasets and obtain statistically sound answers. This comprehensive course will equip you with the knowledge and skills to effectively utilize common tests such as t-tests, proportion tests, and chi-square tests. Delve into the inner workings of these tests and gain a profound understanding of the underlying assumptions. Additionally, you will discover the interconnectedness of various hypothesis tests through the There is only one test framework. Furthermore, you will learn about non-parametric tests that offer alternatives to traditional hypothesis tests, bypassing their specific requirements. Begin your journey by understanding the significance and utility of hypothesis testing in R, while simultaneously grasping essential concepts along the way. Uncover the power of t-tests in comparing means between two groups and the versatility of chi-square tests in comparing observed and expected results. As you progress, you will unravel the intricate relationships between different hypothesis tests, exploring crucial aspects such as randomness, independence of observation, and sample sizes. Upon completion of this course, you will possess a profound comprehension of hypothesis testing in R and the ability to discern the appropriate tests for your data. Throughout the course, you will analyze real-world datasets, including a Stack Overflow user survey and a dataset on late shipments of medical supplies. Embark on this enlightening journey and enhance your statistical prowess with Hypothesis Testing in R.

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DataCamp is an online learning platform that offers interactive courses and tutorials for data science and analytics. It provides a wide range of courses covering topics such as Python, R, SQL, machine learning, data visualization, and more. The platform offers a hands-on learning experience through coding exercises and projects, allowing users to practice and apply their skills in real-world scenarios. DataCamp also offers a personalized learning experience with adaptive learning technology that adjusts the course content based on the user's skill level and progress. It is widely used by individuals, professionals, and organizations to enhance their data science skills and stay up-to-date with the latest trends and technologies in the field.
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