Find the rejected region in the problem of a biased die - Hypothesis

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SUMMARY

The discussion focuses on calculating the probability of a biased die using the cumulative distribution function. Specifically, the calculation of ##P(X≥10)## is derived from the formula ##P(X≥10) = 1 - P(X≤9)##, which equals ##0.055##. The user also explores a similar problem where they compute ##P(X≥4)## using the sum of probabilities for values from 0 to 3, arriving at ##0.0698##. The consensus is that this method is valid for determining whether to reject or accept the null hypothesis.

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Students in statistics, data analysts, and anyone involved in hypothesis testing and probability calculations will benefit from this discussion.

chwala
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Homework Statement
Kindly see attached question and mark scheme guide
Relevant Equations
##Bin (n,p)##
Consider the question below:

1626846377308.png


this (below) is the mark scheme for the problem, there were different methods given in the mark scheme but i was interested on this one only...

1626846432252.png


Now onto my question, How did they calculate ##P(X≥10)##=##1-P(X≤9)##=##0.055##...?

In attempting to understand the question i went ahead and looked at a similar problem (attached below); i.e

1626846784214.png


and i could see from my analysis that, the highlighted value could have been found using the steps below:
##P(x≥4)=1- [ P(x=0) +P(x=1)+P(x=2)+P(x=3)]##
=## 1- [0.1615+0.3230+0.2907+0.1550]##
=##1-0.9302##
=##0.0698##
ok is this correct? if so going back to our problem, do we use the same approach? or there is a shorter way...
This is the only part that i need clarity. I should be able to come to the deduction on whether to reject or accept null hypothesis.
 
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Yes, this is the way to compute it.
 
Orodruin said:
Yes, this is the way to compute it.
Thanks, implying that a student would have a lot of computation work to do (with calculator) to realize ##P(X≥10)## and ##P(X≥11)##... and then come to some conclusion... Phew!
 

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