A leading consumer magazine, The False Traders, claims that the small coffee sold at Beanz coffee shop does not contain 12 ounces of coffee. A sample of 25 customers who purchased a small coffee yielded the following information: - a sample mean of 12.10 ounces and a sample standard deviation of 0.25 ounces.
a. Set up a 95% confidence interval for the true population mean.
b. At the 10% level, test the alternate hypothesis that the true mean is not equal to 12 ounces.
x̅ = 12.1, s = 0.25, n = 25
a)
95% Confidence interval :
At α = 0.05 and df = n-1 = 24, two tailed critical value, t-crit = T.INV.2T(0.05, 24) = 2.064
Lower Bound = x̅ - t-crit*s/√n = 12.1 - 2.064 * 0.25/√25 = 11.997
Upper Bound = x̅ + t-crit*s/√n = 12.1 + 2.064 * 0.25/√25 = 12.203
b)
Null and Alternative hypothesis:
Ho : µ = 12 ; H1 : µ ≠ 12
Test statistic:
t = (x̅ - µ)/(s/√n) = (12.1 - 12)/(0.25/√25) = 2.0
df = n-1 = 24
p-value = T.DIST.2T(ABS(2), 24) = 0.0569
Decision:
p-value < α, Reject the null hypothesis.
Conclusion:
There is enough evidence to conclude that the true mean is not equal to 12 ounces at 0.10 significance level.
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