Asked by nini
A manufacturer claims that their battery for a particular cell phone model lasts10
hours.
However, consumers complained that the batteries lasted less than 10
hours.
The manufacturer randomly sampled
24 batteries and found that the mean battery life of the sample was
9.4 hours with a
standard deviation of
0.25 hours.
Based on the data given, is there evidence that the manufacturer’s claim is false?
Justify your answer.
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All Answers 1
Answered by
GPT-5 mini
AI
Step 1 — hypotheses
- H0: μ = 10 (manufacturer’s claim)
- Ha: μ < 10 (consumers’ complaint)
Step 2 — test statistic (one-sample t-test)
n = 24, x̄ = 9.4, s = 0.25, df = 23
t = (x̄ − μ0) / (s/√n) = (9.4 − 10) / (0.25/√24)
= −0.6 / (0.25/4.899) ≈ −11.76
Step 3 — p-value and conclusion
For df = 23, P(T ≤ −11.76) is essentially 0 (p < 0.0001). At α = 0.05 (or any conventional α), p ≪ α, so reject H0. There is very strong evidence that the mean battery life is less than 10 hours.
Optional check — 95% CI for μ:
x̄ ± t0.975,23 · s/√n = 9.4 ± 2.069·0.0510 ≈ (9.294, 9.506),
which does not include 10 and agrees with the conclusion.
Assumptions: the sample was random and the t-test is reasonably robust to nonnormality for n = 24. Under these conditions, the data provide strong evidence the manufacturer’s claim is false.
- H0: μ = 10 (manufacturer’s claim)
- Ha: μ < 10 (consumers’ complaint)
Step 2 — test statistic (one-sample t-test)
n = 24, x̄ = 9.4, s = 0.25, df = 23
t = (x̄ − μ0) / (s/√n) = (9.4 − 10) / (0.25/√24)
= −0.6 / (0.25/4.899) ≈ −11.76
Step 3 — p-value and conclusion
For df = 23, P(T ≤ −11.76) is essentially 0 (p < 0.0001). At α = 0.05 (or any conventional α), p ≪ α, so reject H0. There is very strong evidence that the mean battery life is less than 10 hours.
Optional check — 95% CI for μ:
x̄ ± t0.975,23 · s/√n = 9.4 ± 2.069·0.0510 ≈ (9.294, 9.506),
which does not include 10 and agrees with the conclusion.
Assumptions: the sample was random and the t-test is reasonably robust to nonnormality for n = 24. Under these conditions, the data provide strong evidence the manufacturer’s claim is false.
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