Understanding P-values in Statistical Analysis

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Homework Help Overview

The discussion revolves around understanding p-values in the context of statistical analysis, particularly in hypothesis testing. Participants are examining the implications of calculated p-values and their relationship to significance levels.

Discussion Character

  • Conceptual clarification, Assumption checking

Approaches and Questions Raised

  • Participants discuss the calculation of a t-distribution and the resulting p-value, questioning the interpretation of the p-value in relation to the null hypothesis. There are inquiries about the meaning of the p-value itself and its implications for hypothesis testing.

Discussion Status

The discussion is ongoing, with participants sharing their calculations and interpretations. Some have expressed surprise regarding the units of certain statistical measures, indicating a need for clarification. There is no explicit consensus yet, but the conversation is exploring the meaning and implications of the p-value.

Contextual Notes

Participants are operating under typical significance levels, such as 0.05, and are questioning the assumptions related to the statistical measures being discussed.

whitehorsey
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3. I solved for t distribution = (.03 - 0)/(.1/√25) = .15
P - Value = 2P(T ≥ .15) = 2(.441) = .882. So I got No but instead we fail to reject H0 because 0.882 > .05 (.005 is the typical significance level). Is this correct and would it be a correct interpretation?
 
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I am surprised that s does not have a unit.

0.882 > 0.05 (or whatever you want to use), so we don't reject H0.
The large p-value shows that the result is very close to the "prediction" based on H0.
 
mfb said:
I am surprised that s does not have a unit.

0.882 > 0.05 (or whatever you want to use), so we don't reject H0.
The large p-value shows that the result is very close to the "prediction" based on H0.

Thank You!
 
And do you know in words what that p-value means?
 
abeliando said:
And do you know in words what that p-value means?

The probability of attaining a test statistic.
 

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