document.write( "Question 1202805: The amounts of nicotine in a certain brand of cigarette are normally distributed with a mean of 0.883 g and a standard deviation of 0.289 g. The company that produces these cigarettes claims that it has now reduced the amount of nicotine. The supporting evidence consists of a sample of 33 cigarettes with a mean nicotine amount of 0.777 g.\r
\n" ); document.write( "\n" ); document.write( "Assuming that the given mean and standard deviation have NOT changed, find the probability of randomly selecting 33 cigarettes with a mean of 0.777 g or less.
\n" ); document.write( "P(M < 0.777 g) = \r
\n" ); document.write( "\n" ); document.write( "Enter your answer as a number accurate to 4 decimal places.\r
\n" ); document.write( "\n" ); document.write( "Based on the result above, is it valid to claim that the amount of nicotine is lower?\r
\n" ); document.write( "\n" ); document.write( "No. The probability of obtaining this data is high enough to have been a chance occurrence.
\n" ); document.write( "Yes. The probability of this data is unlikely to have occurred by chance alone.
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Algebra.Com's Answer #837925 by Theo(13342)\"\" \"About 
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population mean = .883
\n" ); document.write( "population standard deviation = .289
\n" ); document.write( "sample size = 33
\n" ); document.write( "sample mean = .777
\n" ); document.write( "you want to find the probability of getting an amount of nicotine less than .777 from this sample.
\n" ); document.write( "z-score formula is z = (x-m) / s
\n" ); document.write( "z is the z-score
\n" ); document.write( "x is the sample mean
\n" ); document.write( "m is the population mean
\n" ); document.write( "s is the standard error.
\n" ); document.write( "standard error = population standard deviation divied by square root of sample size = .289 / sqrt(33) = .0503.
\n" ); document.write( "z-score formula becomes z = (.777 - .883) / .0503 = -2.1074.
\n" ); document.write( "the probability of getting a z-score less than that is equal to .0275.
\n" ); document.write( "that's a pretty low probability.
\n" ); document.write( "if you were tyesting at .05 one tail level of significance, the results would be considered significant and you would conclude that the probability of getting a z-score this low is leess likely to be due to random variations in the mean of a sample of this size and more likely that the actual meana really is lower.
\n" ); document.write( "if you were testing at .01 one tail level of significance, the resuls would be considered not significant and you would conclude that the proability of getting a z-sore this low is more likely to be due to random variations in the mean of a sample of this size and so you would considered the assumed population mean to be valid.
\n" ); document.write( "i ran this through a one sample z-test calculator and it came up with the same conclusion.
\n" ); document.write( "here are the results.\r
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\n" ); document.write( "\n" ); document.write( "the first is significant at .05 level of significance.
\n" ); document.write( "the second is not significance at .01 level of significance.\r
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