Learn Statistics Part 6
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Product Description
Learn the fundamentals of Inferential Statistics with our latest lesson, Part 6 in the “Basic Statistics for Researchers” series. This comprehensive tutorial introduces you to crucial statistical concepts that allow you to make predictions about a population based on sample data. Whether you’re analyzing confidence intervals or performing hypothesis testing, this lesson provides practical examples and clear explanations to help you master inferential statistics.
Key Features
- Introduction to Inferential Statistics: Understand how to generalize findings from a sample to a larger population.
- Estimation Methods: Learn the difference between point estimation and interval estimation.
- Hypothesis Testing: Explore various tests like t-tests, ANOVA, and Chi-Square, with real-world applications.
- Parametric and Non-Parametric Tests: Get to know key statistical tools to compare group data, including Z-tests, Mann-Whitney U, and Kruskal-Wallis tests.
- Simple, Real-World Examples: Easy-to-follow explanations and examples to help you grasp complex concepts.
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