The mean potassium content of a popular sports drink is listed as 139 mg in a 32-oz bottle. Analysis of 24 bottles indicates a sample mean of 137.5 mg. |
(a) | State the hypotheses for a two-tailed test of the claimed potassium content. |
a. | H0: μ = 139 mg vs. H1: μ ≠ 139 mg |
b. | H0: μ ≤ 139 mg vs. H1: μ > 139 mg |
c. | H0: μ ≥ 139 mg vs. H1: μ < 139 mg |
|
(b) |
Assuming a known standard deviation of 2.3 mg, calculate the z test statistic to test the manufacturer’s claim. (Round your answer to 2 decimal places. A negative value should be indicated by a minus sign.) |
Test statistic |
(c) |
At the 1 percent level of significance (α = 0.01) does the sample contradict the manufacturer’s claim? |
Decision Rule: Reject H0 (Click to select) if z > + 2.576 or if z < -2.576 if z < + 2.576 or if z < -2.576 if z < + 2.576 or if z > -2.576 | |
The sample (Click to select) contradicts does not contradict the manufacturer's claim. |
(d) |
Find the p-value. (Round intermediate calculations to 2 decimal places. Round your answer to 4 decimal places.) |
p-value |
a. Here we need to state the hypotheses for a two-tailed test of the claimed potassium content, which mean
Hence answer here is a.
H0: μ = 139 mg vs. H1: μ ≠ 139 mg |
b. Now and
So test statistics is
c. The z-critical values for a two-tailed test, for a significance level of α=0.01
zc=−2.576 and zc=2.576
Graphically
Decision Rule: Reject H0 if z > + 2.576 or if z < -2.576 |
As test statistics falls in the rejection region we reject the null hypothesis
d. P value is
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