A simple random sample of
29
filtered 100-mm cigarettes is obtained from a normally distributed population, and the tar content of each cigarette is measured. The sample has a standard deviation of
0.20
mg. Use a
0.05
significance level to test the claim that the tar content of filtered 100-mm cigarettes has a standard deviation different from
0.30
mg, which is the standard deviation for unfiltered king-size cigarettes. Complete parts (a) through (d) below.
H0: = 0.30
Ha: 0.30
Test statistics
= ( n - 1) S2 / 2
= ( 29 - 1) * 0.202 / 0.302
= 12.44
Chi square critical values at 0.05 significance level with 28 df = 15.308 , 44.461
Since test statistics falls in rejection region, that is < 15.308, reject H0.
We conclude that we have sufficent evidence to support the claim that tar content of filtered 100-mm
cigarettes has a standard deviation different from 0.30mg
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