In: Math
A coffee shop claims that its fresh-brewed drinks have a mean caffeine content of 80 milligrams per 5 ounces. A city health agency believes that the coffee shop’s fresh- brewed drinks have higher caffeine content. To test this claim the health agency takes a random sample of 100 five-ounce servings and found the average mean caffeine content of the sample was 87 milligrams with standard deviation of 25 milligrams. Does this provide enough evidence at the 1% significance level to claim that the coffee shop’s fresh- brewed drinks have higher caffeine content?
For the test of significance questions, clearly indicate each of the formal steps in the test of significance.
Step 1: State the null and alternative hypothesis.
Step 2: Calculate the test statistic.
Step 3: Find the p-value.
Step 4: State your conclusion. (Do not just say “Reject H0” or “Do not reject H0”, state the conclusion in the context of the problem.)
1) H0: = 80
H1: > 80
2) The test statistic t = ()/(s/)
= (87 - 80)/(25/)
= 2.8
3) P-value = P(T > 2.8)
= 1 - P(T < 2.8)
= 1 - 0.9969
= 0.0031
Since the P-value is less thn the significance level (0.0031 < 0.01), so we should reject H0.
So at 1% significance level there is sufficient evidence to support the claim that the coffee shop's fresh-brewed drinks have higher caffeine content.