The Fast N' Hot food chain wants to test if their "Buy One, Get One Free" program increases customer traffic enough to support the cost of the program. For each of 15 stores, one day is selected at random to record customer traffic with the program in effect, and one day is selected at random to record customer traffic with program not in effect. The results of the experiment are documented in DATA. For each store, compute difference = traffic with program minus traffic without program. At x = 0.05, test the hypothesis that the mean difference is at most 0 (at best the program makes no difference, or worse it decreases traffic) against the alternative that the mean difference > 0 (the program increases traffic).
Customer Traffic | |
With Program | Without Program |
136 | 140 |
228 | 233 |
111 | 110 |
38 | 42 |
332 | 332 |
132 | 135 |
150 | 151 |
35 | 33 |
189 | 178 |
141 | 147 |
175 | 162 |
253 | 243 |
144 | 149 |
49 | 48 |
356 | 346 |
Let us denote
d = traffic with program - traffic without program
To test against
Here
sample mean of difference
sample standard deviation of difference
and sample size
The test statistic can be written as
which under H0 follows a t distribution with n-1 df.
We reject H0 at 0.05 level of significance if P-value < 0.05
Now,
The value of the test statistic
and P-value =
Since P-value > 0.05, so we fail to reject H0 at 0.05 level of significance and we can conclude that the program significantly increases customer traffic.
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