A fast food company is considering a new lunch item. The company will choose the item based on test market results. The item should show a higher weekly demand than one of the regular items on the menu. The analysis needs to show a difference at a 0.01 level of significance to be selected. The output below shows the analysis based on the sample data (weekly sales were recorded in 1000's in the data file)

(PLEASE REMEMBER: this is a practice exam and I have created these to be "automatically graded" so you get a feedback. In the ACTUAL EXAM all fill-in-the-blanks and short answer questions will be manually graded, so you don't need to worryif youare entering the right words,numberof decimals, etc.)

	New Item	Regular Item
Mean	17.50666667	16.19444444
Variance	4.037117117	20.86838006
Observations	75	108
Hypothesized Mean Difference	0	No data
df	157	No data
t Stat	2.640045854	No data
P(Tt) one-tail	0.004563106	No data
t Critical one-tail	2.350333732	No data
P(Tt) two-tail	0.009126212	No data
t Critical two-tail	2.607506474	No data

Fill in the table below with the correct answers:

Is this a one-tail or two-tail test?
Does the data support the claim?
What is the lower bound for a 98% confidence interval?