document.write( "Question 135532: A sample is taken prior to a major Election of likely voters. The null hypothesis is that the votes will be split 50/50. One candidate gets 54% of the support in the sample, and the P-value for this sample is calculated to be 0.12. What is the correct interpretation of the P-value? \r
\n" ); document.write( "\n" ); document.write( "A)There is a 95% probability that the true population percentage is 54% plus/minus 12%.
\n" ); document.write( "B)The candidate has only a 12% chance of loosing the election.
\n" ); document.write( "C)Assuming that the true percentage actually supporting the candidate is 50%, there is a 0.12 probability that a sample will show results of 54% or greater.
\n" ); document.write( "D)12% of the votes in the upcoming election are uncertain, the rest can be estimated.\r
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Algebra.Com's Answer #99314 by stanbon(75887)\"\" \"About 
You can put this solution on YOUR website!
Answer: C
\n" ); document.write( "The p-value always tells you how much stronger evidence there is that
\n" ); document.write( "Ho is false. So if p-value is very small you would have little chance
\n" ); document.write( "of building a stronger argument against Ho. But if p-value is large
\n" ); document.write( "there are many, many test results that would give you more evidence
\n" ); document.write( "to reject Ho---so you might not choose to reject it.
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\n" ); document.write( "Cheers,
\n" ); document.write( "Stan H.
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