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What are the two types of hypotheses used in a hypothesis test? How are they related? What are the two types of hypotheses used in a hypothesis test? Oleft-tailed and right-tailed O null and alternative O t ype I and type II O population and sample

What are the two types of hypotheses used in a hypothesis test? How are they related? What are the two types of hypotheses used in a hypothesis test? Oleft-tailed and right-tailed O null and alternative O t ype I and type II O population and sample

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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**Understanding Hypothesis Testing** **Question:** What are the two types of hypotheses used in a hypothesis test? **Options:** - ○ left-tailed and right-tailed - ○ null and alternative - ○ type I and type II - ○ population and sample **Explanation:** In hypothesis testing, two primary types of hypotheses are involved: 1. **Null Hypothesis (H₀)**: This is the default assumption that there is no effect or no difference. It serves as a starting point for statistical testing. 2. **Alternative Hypothesis (H₁ or Ha)**: This represents the statement that there is an effect or a difference. It is what you aim to support through your evidence. The null and alternative hypotheses are mutually exclusive. Statistical tests are performed to determine if there is enough evidence to reject the null hypothesis in favor of the alternative hypothesis.
Transcribed Image Text:**Understanding Hypothesis Testing** **Question:** What are the two types of hypotheses used in a hypothesis test? **Options:** - ○ left-tailed and right-tailed - ○ null and alternative - ○ type I and type II - ○ population and sample **Explanation:** In hypothesis testing, two primary types of hypotheses are involved: 1. **Null Hypothesis (H₀)**: This is the default assumption that there is no effect or no difference. It serves as a starting point for statistical testing. 2. **Alternative Hypothesis (H₁ or Ha)**: This represents the statement that there is an effect or a difference. It is what you aim to support through your evidence. The null and alternative hypotheses are mutually exclusive. Statistical tests are performed to determine if there is enough evidence to reject the null hypothesis in favor of the alternative hypothesis.
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