A coin-operated drink machine was designed to discharge a meanof 8 ounces of coffee per cup. In a test of the machine, the discharge amounts in 20 randomly chosen cups of coffee from the machine were recorded. The sample mean and sample standard deviationwere 8.08 ounces and .13 ounces, respectively. If we assume that the discharge amounts are normally distributed, is there enough evidence, at the .05 level of significance, to conclude that the true mean discharge, , differs from 8 ounces?
T F Chi
Value to test statistic?
Critical values at .05?
Can we conclude that the true mean discharge is 8oz?
This solution provides a step by step method for testing the hypothesis under 5 step approach is discussed here. Excel template for each problem is also included. This template can be used to obtain the answers of similar problems.