Groups of non-smokers who were not exposed to smoke and non-smokers who were exposed to secondhand smoke were sampled to test their cotinine levels (ng/mL). Using a 0.05 significance level, test the claim that non-smokers exposed to tobacco smoke have higher mean cotinine levels than non-smokers that are not exposed. Exposed to secondhand smoke: n=40, x̅=60.58, s=138.08 Not exposed to secondhand smoke: n=40, x̅=16.35, s=62.53 1. H^0=? 2. H^1=? 3. Critical value(s):? 4. Graph rejection regions with labelled critical value(s) 5. Test statistic: State what test stat is being used (z,t,etc.) the formula being used, and what values are substituted into the formula. 6. P-value=? 7. State the conclusion of the test in the context of the problem (for example, not just "reject null" but what does it mean for this specific problem):
Groups of non-smokers who were not exposed to smoke and non-smokers who were exposed to secondhand smoke were sampled to test their cotinine levels (ng/mL). Using a 0.05 significance level, test the claim that non-smokers exposed to tobacco smoke have higher mean cotinine levels than non-smokers that are not exposed.
Exposed to secondhand smoke: n=40, x̅=60.58, s=138.08
Not exposed to secondhand smoke: n=40, x̅=16.35, s=62.53
1. H^0=?
2. H^1=?
3. Critical value(s):?
4. Graph rejection regions with labelled critical value(s)
5. Test statistic: State what test stat is being used (z,t,etc.) the formula being used, and what values are substituted into the formula.
6. P-value=?
7. State the conclusion of the test in the context of the problem (for example, not just "reject null" but what does it mean for this specific problem):
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