Assume that a simple random sample has been selected from a normally distributed population and test the given claim. Identify the null and alternative hypotheses, test statistic, P-value, and state the final conclusion that addresses the original claim. A simple random sample of 2525 filtered 100 mm cigarettes is obtained, and the tar content of each cigarette is measured. The sample has a mean of 19.219.2 mg and a standard deviation of 3.353.35 mg. Use a 0.050.05 significance level to test the claim that the mean tar content of filtered 100 mm cigarettes is less than 21.121.1 mg, which is the mean for unfiltered king size cigarettes. What do the results suggest, if anything, about the effectiveness of the filters?
H0:Null Hypothesis:
HA: Alternative Hypothesis:
SE = s/
= 3.35/ = 0.67
Test statistic is:
t = (19.2 - 21.1)/0.67 = - 2.8358
ndf = 25 - 1 = 24
By Technology, P - value = 0.0046
Since P - Value is less than , the difference is significant. Reject null hypothesis.
Conclusion:
The data support the claim that the mean tar content of filtered
100 mm cigarettes is less than 21.2 mg, which is the mean for
unfiltered king size cigarettes.
The results suggest that the filters are effective.
Assume that a simple random sample has been selected from a normally distributed population and test...
Assume that a simple random sample has been selected from a normally distributed population and test the given claim. Identify the null and alternative hypotheses, test statistic, P-value, and state the final conclusion that addresses the original claim. A simple random sample of 2525 filtered 100 mm cigarettes is obtained, and the tar content of each cigarette is measured. The sample has a mean of 19.419.4 mg and a standard deviation of 3.553.55 mg. Use a 0.050.05 significance level to...
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