A coffee machine is supposed to dispense 12 ounces of coffee in
each cup. A business using one of these machines is concerned that
it is dispensing less than 12 ounces. An inspector takes a sample
of 16 cups of coffee, and finds a mean of ¯x=11.7x¯=11.7 ounces
with a standard deviation of s=0.8s=0.8 ounces. (Assume coffee
serving volumes are normally distributed.)
1. What are the null and alternate hypotheses for this study?
H0: μ (< > ≤ ≥ = ≠) ?
H1: μ (< > ≤ ≥ = ≠) ?
2. What is the pp-value for the hypothesis test, rounded to four
decimal places?
p=?
3. At the α=0.10α=0.10 level, what is the conclusion for this test,
and what does that mean in context?
- A. Reject the null hypothesis. The coffee machine is dispensing
less than 12 ounces of coffee per serving.
- B. Fail to reject the null hypothesis. The coffee machine is
dispensing at least 12 ounces of coffee per serving.
- C. Reject the null hypothesis. The sample data is consistent
with the claim that the coffee machine is dispensing an average of
12 ounces per serving.
- D. Fail to reject the null hypothesis. There is sufficient
evidence to warrant rejection of the claim that the coffee machine
is dispensing an average of 12 ounces per serving.
- E. Reject the null hypothesis. The sample data supports the
claim that the coffee machine is dispensing an average of less than
12 ounces per serving.
- F. Fail to reject the null hypothesis. There is not sufficient
evidence to support the claim that the coffee machine is dispensing
an average of less than 12 ounces per serving.