In: Statistics and Probability
A pizza chain plans to locate a new pizza franchise on the CCSU campus if the results of a survey show that more than 10% of CCSU students would eat there at least once a week. Suppose the company is about to carry out a hypothesis test.
State the hypotheses.
Clearly state, in terms of this particular problem, what a Type I error would mean.
Describe possible consequences of a Type I error in this situation.
Clearly state, in terms of this particular problem, what a Type II error would mean.
Describe possible consequences of a Type II error in this situation.
Let p denotes the true proportion of CCSU students would eat there at least once a week.
To test
against
In this case,
Type I Error = Rejecting the fact that the true proportion of CCSU students would eat there at least once a week is equal or less than 10% when the true proportion is actually equal or less than 10%
Consequences of a Type I error = They will prepare more food assuming that more than 10 % students will come but the food will be wasted since the true proportion is actually equal or less than 10%.
Type II Error = Accepting the fact that the true proportion of CCSU students would eat there at least once a week is less than 10% when the true proportion is actually greater than 10%
Consequences of a Type II error = They will prepare less food assuming that equal or less than 10 % students will come but they will need more food since the true proportion is actually greater than 10%.