Understanding Probability: A Review of Elementary Concepts for Scientists

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Homework Help Overview

The discussion revolves around understanding a probability problem related to the t-distribution, specifically finding the probability P(T < ??) given degrees of freedom (v = 26) and a significance level (α = 0.005). Participants are examining the implications of the significance level and the correct interpretation of the t-distribution table.

Discussion Character

  • Exploratory, Assumption checking, Conceptual clarification

Approaches and Questions Raised

  • Participants are attempting to clarify the relationship between the significance level and the tails of the t-distribution. There are questions about whether the problem is asking for a left-tail or right-tail probability and how to interpret the values from the t-table. Some participants suggest rephrasing the question for clarity.

Discussion Status

The discussion is ongoing, with various interpretations being explored. Some participants have provided guidance on how to approach the problem, while others are questioning the clarity of the original question. There is no explicit consensus on the correct interpretation or solution at this time.

Contextual Notes

Participants note that the provided table is for right-tail tests, which may influence how they interpret the significance level. There is also a recognition that the original poster may be conflating concepts related to the t-distribution and normal distribution.

tzx9633

Homework Statement



I'm asked to find the P (T < ?? ) , v= 26 , α = 0.005
2. Homework Equations

The Attempt at a Solution


From the table , we could notice that P (T > 2.779) , v= 26 , α = 0.005 ,
So , i think the ans should be P (T < -2.779 ) , v= 26 , α = 0.005 ,

But the ans is P (T < 2.779) , why ?
Is the ans wrong ?
 

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tzx9633 said:

Homework Statement



I'm asked to find the P (T < ?? ) , v= 26 , α = 0.005
2. Homework Equations

The Attempt at a Solution


From the table , we could notice that P (T > 2.779) , v= 26 , α = 0.005 ,
So , i think the ans should be P (T < -2.779 ) , v= 26 , α = 0.005 ,

But the ans is P (T < 2.779) , why ?
Is the ans wrong ?

I depends on what the "##\alpha = 0.005##" is supposed to mean.

If you are performing a right-tail test you would want an upper-tail probability of no more than 0.005, so you would be seeking ##t_R## giving ##P(T > t_R) = 0.005##, or ##P(T < t_R) = 0.995##. However, if you are performing a left-tail test you want a value of ##t_L## giving ##P(T < t_L) = 0.005##. So, you are being asked to find either ##t_R## or ##t_L##. Your included diagram and table assume a right-tail test.
 
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tzx9633 said:

Homework Statement



I'm asked to find the P (T < ?? ) , v= 26 , α = 0.005
2. Homework Equations

The Attempt at a Solution


From the table , we could notice that P (T > 2.779) , v= 26 , α = 0.005 ,
So , i think the ans should be P (T < -2.779 ) , v= 26 , α = 0.005 ,

But the ans is P (T < 2.779) , why ?
Is the ans wrong ?
Just look at the table in the intersection of the row for ##\alpha=0.005 ## and ##v=26##, it gives you precisely the value ##2.779##. What is the question?
 
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Ray Vickson said:
I depends on what the "##\alpha = 0.005##" is supposed to mean.

If you are performing a right-tail test you would want an upper-tail probability of no more than 0.005, so you would be seeking ##t_R## giving ##P(T > t_R) = 0.005##, or ##P(T < t_R) = 0.995##. However, if you are performing a left-tail test you want a value of ##t_L## giving ##P(T < t_L) = 0.005##. So, you are being asked to find either ##t_R## or ##t_L##. Your included diagram and table assume a right-tail test.
Yes , the table is for right tail test . I am provided with this table and I'm asked this question . So , the ans should be P (T < -2.779) , am i right ?
 
WWGD said:
Just look at the table in the intersection of the row for ##\alpha=0.005 ## and ##v=26##, it gives you precisely the value ##2.779##. What is the question?
the question is find
P (T < ?? ) , v= 26 , α = 0.005
 
tzx9633 said:
the question is find
P (T < ?? ) , v= 26 , α = 0.005
That is badly stated: ##\alpha = 0.005## refers to the test, so that you want to find a critical value ##t_c## such that ##P(T > t_c) =0.005##. If you are being asked to solve
$$ P(T < ?) = 0.005$$
that is a completely different issue.
 
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Ray Vickson said:
That is badly stated: ##\alpha = 0.005## refers to the test, so that you want to find a critical value ##t_c## such that ##P(T > t_c) =0.005##. If you are being asked to solve
$$ P(T < ?) = 0.005$$
that is a completely different issue.
Back to the question , should the ans be P (T < -2.779)?
 
tzx9633 said:
Back to the question , should the ans be P (T < -2.779)?
You tell me; it is your question, on your homework.
 
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tzx : If I understand correctly, you are asking which numerical value , in a t-distribution with ##v=26## will give you a probability ##\alpha =0.05 ## or less. May I suggest a rephrase :
Find a value T in a t-distribution with ##v=26##, so that ##P(t<T) < 0.05 ## ?
 
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  • #10
WWGD said:
tzx : If I understand correctly, you are asking which numerical value , in a t-distribution with ##v=26## will give you a probability ##\alpha =0.05 ## or less. May I suggest a rephrase :
Find a value T in a t-distribution with ##v=26##, so that ##P(t<T) < 0.05 ## ?
ok , thanks , the question now is changed to : Find a value T in a t-distribution with ##v=26##, so that ##P(t<T) < 0.05 ## ?

So , the ans is P (T < -2.779) ??
 
  • #11
This is a sort of reverse of the standard problem of finding the probability ##P(T<t)##, where T is known. Instead, you find to find the value ##T ## so that the probability is less than ##\alpha =0.05## . Can you look at your table and take it from there?
 
  • #12
WWGD said:
This is a sort of reverse of the standard problem of finding the probability ##P(T<t)##, where T is known. Instead, you find to find the value ##T ## so that the probability is less than ##\alpha =0.05## . Can you look at your table and take it from there?
No , the table provided is for ##P(T>t)## , for ##P(T<t)## i am not sure , i just want to verify my concept , can i use ##P(T<-2.279)## ?
 
  • #13
tzx9633 said:
No , the table provided is for ##P(T>t)## , for ##P(T<t)## i am not sure , i just want to verify my concept , can i use ##P(T<-2.279)## ?

Are you saying that if you know ##P(T > w) = p## you cannot figure out how to find ##P(T < w)?##
 
  • #14
Ray Vickson said:
Are you saying that if you know ##P(T > w) = p## you cannot figure out how to find ##P(T < w)?##
yes , i am only familiar with normal distribution , but not sure about t -distribution , can i do so for the t-distribution ?
 
  • #15
tzx9633 said:
yes , i am only familiar with normal distribution , but not sure about t -distribution , can i do so for the t-distribution ?

You need to go back and review elementary probability. The question you are asking has nothing at all to do with whether you are dealing with the t-distribution, the normal distribution or any other continuous distribution at all.

I am not going to answer the question, because that would be a violation of PF policy. But, I am serious: you need to review some very, very basic material.
 

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