Overview
Dive into a comprehensive video tutorial on hypothesis testing statistics, covering essential concepts and practical applications. Learn about different types of hypotheses, error types, and various statistical tests including t-tests, z-tests, chi-square tests, and ANOVA. Explore real-world examples in medicine, biology, and business to understand how hypothesis testing is used for decision-making and research validation. Gain insights into confidence intervals, significance levels, and one-tailed vs. two-tailed tests. Master the fundamentals of statistical analysis to enhance your data-driven decision-making skills across multiple fields.
Syllabus
- Introduction to Hypothesis Testing.
- What is a hypothesis test and its types.
- Type I and type II errors.
- Types of hypothesis testing.
- Confidence level and confidence interval.
- One-tailed and two-tailed hypothesis.
- Hypothesis testing examples.
- Chi square distribution.
- ANOVA.
- one-way ANOVA test and two-way ANOVA test.
- f statistic test.
- Z statistic test.
- Summary.
Taught by
Great Learning