A chef at an amusement park feels that the amount of time that people spend waiting in line to get served is too long. To determine if a new waitng procedure is effective in reducing the wait time, she measures the amount of time (in minutes) people are waiting in line for seven days.
Mon Tues Wed Thurs Fri Sat Sun
Wait time before 12 26 20 38 57 82 57
Wait time after 11 28 19 36 59 75 55
Is the new waiting procedure effective in reducing the wait time at the =0.05 level of significance?
1.
Paired T-Test
"H_0:\\mu_2<\\mu_1" , the new waiting procedure effective in reducing the wait time
"H_a:\\mu_2\\ge\\mu_1" , the new waiting procedure is not effective in reducing the wait time
"\\mu_1" - mean of previous wait time
"\\mu_2" - mean of new wait time
2.
"df=n-1=7-1=6"
the critical value:
"T_{crit}=2.447"
3.
Test value:
"t=\\frac{\\mu_2-\\mu_1}{\\sqrt{s_1^2\/n+s_2^2\/n}}"
"\\mu_1=41.7,s^2_1=617.6"
"\\mu_2=40.4,s^2_2=542.0" ,
"t=\\frac{40.4-41.7}{\\sqrt{617.6^2\/7+542^2\/7}}=-0.004"
4.
Since "|t|<t_{crit}", we accept the null hypothesis.
5.
The new waiting procedure effective in reducing the wait time at the =0.05 level of significance.
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