High School Statistics Help : Hypothesis Testing

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The discussion centers on the choice of using 16 instead of 17 in hypothesis testing, particularly regarding the significance level of P(X>=16) being greater than 0.005. Participants debate the rationale behind rounding and whether to opt for a more conservative approach when determining integer values. One contributor emphasizes that while 0.0064 is closer to 0.0050 than 0.0021, the decision should align with the prescribed question parameters. The conversation highlights a lack of consensus on the standard practices for rounding in statistical testing. Ultimately, the need for clarity in hypothesis testing procedures is underscored.
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There's this question and I have worked it out until the end but don't understand why the answer is the answer
1595814004874.png

Answer :
1595814030267.png

I understnad why x(< or = ) 2 but I do not understand why we use 16 instead of 17 for the second range? When P(X>=16) > 0.005(which is the level of significance). Thank you for all the help given :)
 

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"As close as possible to 0.005".

0.0064 is closer to 0.0050 than 0.0021.
 
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None of this is exact of course but I believe I was taught to default to the more conservative number when rounding to an integer value. This is not what the question prescribes but seems more prudent to me ( the significance level will be 1% or less). I am not sure which is the norm!
 
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Here is a little puzzle from the book 100 Geometric Games by Pierre Berloquin. The side of a small square is one meter long and the side of a larger square one and a half meters long. One vertex of the large square is at the center of the small square. The side of the large square cuts two sides of the small square into one- third parts and two-thirds parts. What is the area where the squares overlap?

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