When dealing with a large sample of size n >30 from a population which need not be normal but has finite variance, we can use the central limit theorem to justify using the test for normal populations. Even when is unknown we can approximate its value with in the computation of the test statistic.
Test-statistic:
Two-tailed test
The decision rule is: Reject H0 if Z ≤ -1.96 or if Z ≥ 1.96.
Reject H0.
There is enough evidence to conclude that the companies claim is NOT realistic at the 0.05 significance level.
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