Hypothesis testing-Null and Alternative hypothesis

#Nommathex
#nommathex #hypothesistesting # nullhypothesis #alternatehypothesis
Video title: Hypothesis Testing-Null and Alternative hypothesis
What You'll Learn:
The basics of hypothesis and its importance in statistics. Whether you're a student, a data analyst, or just curious about statistical methods, this video will provide you with a clear and thorough understanding of hypothesis testing.
Topics Covered:
1. Population and Sample: Learn the difference between a population and a sample, and why sampling is crucial in statistics.
2. What is a Hypothesis? Understand the concept of a hypothesis in statistical testing and the roles it plays in drawing conclusions from data.
3. Null and Alternate Hypothesis: Discover the definitions and importance of the null hypothesis and the alternate hypothesis and how they are used to frame statistical tests.
4. One-Tail and Two-Tail Tests: Learn the difference between one-tailed and two-tailed tests, and when to use each type.
5. Type I and Type II Errors: Understand what Type I and Type II errors are, and how they can impact the results of your hypothesis test.
6. Level of Significance: Explore the concept of the level of significance (𝛼), and how it determines the threshold for rejecting the null hypothesis.
7. Confidence Level: Learn about confidence levels and how they complement the level of significance to provide a range of values within which we expect the true population parameter to lie.
8. Critical Region: Discover what the critical region is, how it is determined, and its role in hypothesis testing.
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