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
19.019.0
mg and a standard deviation of
3.143.14
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: = 21
Ha: < 21
Test statistics
t = - / S / sqrt(n)
= 19 - 21 / (3.14 / sqrt(25) )
= -3.18
This is test statistics value.
p-value for the test statistics of -3.18 and df of 24 = 0.0020 (From T table)
Since p-value < 0.05 level, we have sufficient evidence to reject H0.
We conclude at 0.05 level that we have sufficient evidence to support the claim.
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