Critical Value & P-Value Methods: Comparison & Relationships

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Homework Help Overview

The discussion revolves around concepts in probability theory, specifically focusing on mutually exclusive and independent events, as well as the relationship between the Critical Value Method and the P-Value Method in significance testing.

Discussion Character

  • Conceptual clarification, Assumption checking

Approaches and Questions Raised

  • Participants explore definitions of mutually exclusive and independent events, questioning whether both can occur simultaneously. There is also an inquiry into the relationship between the Critical Value Method and the P-Value Method, with suggestions to reference textbooks for definitions and concepts.

Discussion Status

The discussion is active, with participants raising foundational questions and providing initial insights into the methods. Some guidance has been offered regarding the definitions and relationships, but there is no explicit consensus on the answers yet.

Contextual Notes

Participants are encouraged to refer to their textbooks for definitions, indicating a reliance on course materials for clarification. There is an emphasis on understanding the fundamental concepts before delving deeper into the methods.

jokerwild
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1)
In the basic probability theory the concepts of mutually exclusive events and independent events share prominent roles, can two events be both mutually exclusive and independent at the same time?

2)
What are two vital concepts and the relationship between "Critical Value Method" and the "P-Value Method"?
 
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Ooh, looks like homework...
 
jokerwild said:
1)
In the basic probability theory the concepts of mutually exclusive events and independent events share prominent roles, can two events be both mutually exclusive and independent at the same time?
What is the DEFINITION of "mutually exclusive"?
What is the DEFINITION of "independent"?

2)
What are two vital concepts and the relationship between "Critical Value Method" and the "P-Value Method"?
Have you considered looking those up in your textbook
 
For the second question I came up with this:

The critical value method is used for significance testing and is the value that a test must exceed in order for the null hypothesis to be rejected. The critical value would be the largest value of the test statistic that would end in the refusal of the null hypothesis. The p-value method is a measure of how much evidence you have against or for the null hypotheses.

Would this be a valid answer?
 

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