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Module 1: Binary Hypothesis Testing

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Binary Hypothesis Testing - Learning Outcomes

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By the end of this module, you will be able to:

• Outline the concept of binary testing
• Discuss the differences between binary and m-ary hypothesis testing methods
• Describe the concept of estimation in statistics
• Explain the significance of the Neyman-Pearson theory in statistical hypothesis testing
• Identify the basic properties of Kullback– Leibler divergence