A random sample of 11 cigarettes of a certain brand has an average nicotine content of 6.6 milligrams and a standard deviation of 2.5 milligrams. Is this in line with the manufacturer's claim that the average nicotine content does not exceed 4.2 milligrams? Use 0.1 level of significance.
"\\mu=4.2, \\ n=11, \\ \\bar{x}=6.6, \\ s=2.5,\\ \\alpha=0.1."
The null and alternative hypotheses are
"H_0:\\mu\\le4.2,\\\\\nH_1:\\mu>4.2."
Because "\\sigma" is unknown and he population is normally distributed, we use the t-test.
The test is a right-tailed test, the level of significance is "\\alpha=0.1" , and the degrees of freedom are
d.f. = 11 - 1 = 10. So, using t-table, the critical value is t0 = 1.372. The rejection region is t > 1.372. The standardized test statistic is
"t=\\cfrac{\\bar{x}-\\mu}{s\/\\sqrt{n}}=\\cfrac{6.6-4.2}{2.5\/\\sqrt{11}}=3.184>1.372."
Because t is in the rejection region, we reject the null hypothesis, the average nicotine content exceeds 4.2 milligrams.
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