document.write( "Question 1051028: Please help me with this:\r
\n" ); document.write( "\n" ); document.write( "Assume the population is normally distributed. Given a sample size of 225, with sample mean of 750 and standard deviation of 30, we perform the following hypothesis test.
\n" ); document.write( " H_0: μ=745
\n" ); document.write( " H_a: μ≠745\r
\n" ); document.write( "\n" ); document.write( "Is this test for population proportion, mean or standard deviation? What distribution should you apply for the critical value?\r
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\n" ); document.write( "\n" ); document.write( " What is the test statistic? (Show work and round the answer to three decimal places)\r
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\n" ); document.write( "\n" ); document.write( " What is the p-value? (Show work and round the answer to two decimal places. If you use technology to find the P-value, you have to describe the steps)\r
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\n" ); document.write( "\n" ); document.write( " What is your conclusion of the test at the α = 0.1005 level? Why? (Show work)\r
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Algebra.Com's Answer #666680 by rothauserc(4718)\"\" \"About 
You can put this solution on YOUR website!
Because H_a contains not equal, we use a two-tailed test
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\n" ); document.write( "The test is for population mean and we can use the Normal distribution since
\n" ); document.write( "we are given that the population is normally distributed and the sample size is > 30
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\n" ); document.write( "we use the standard error of the mean to calculate the test statistic
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\n" ); document.write( "sample size is 225, the square root of 225 = 15, then
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\n" ); document.write( "standard error of the mean = 30 / 15 = 2
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\n" ); document.write( "test statistic is z = (745 - 750) / 2 = -2.500
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\n" ); document.write( "significance level is 0.1005 and we use the absolute value of the z-score
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\n" ); document.write( "The p-value associated with 2.500 is 1 - 0.9938 = 0.0062
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\n" ); document.write( "Since this is a two-tailed test we multiply by 2 = 0.0124 2-tailed p-value
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\n" ); document.write( "Since 0.0125 is less than 0.1005, we reject H_0
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