Suppose we would like to determine if the typical amount spent per customer for dinner is more than 20. A sample of 49 customers was randomly selected and the average amount spent was 22.60. Assume that the SD is known to be 2.50. Using a 0.01 level of significance, would we conclude the typical amount spent per customer is more than 20?
H0: μ = 20
H1: μ > 20
Level of significance α=0.02
Test-statistic
"X = \\frac{\\bar{x}-\u03bc}{s\/ \\sqrt{n}} \\\\\n\n= \\frac{22.6-20}{2.50\/ \\sqrt{49}} \\\\\n\n= 7.28"
For α=0.02 and right-tailed, using the NORM.S.DIST function of Excel
=NORM.S.DIST(7.28,0)
P-value "= 1.23 \\times 10^{-12}"
P-value < 0.02
Since P-value < α
Reject the null hypothesis.
There is sufficient evidence to conclude the typical amount spent per customer is more than $20.00.
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