A coffee shop owner is worried about a slowdown in business because a new shop opened up one block away. Before the new shop opened, the owner’s customer traffic (customers per hour) was normally distributed with a mean of fourteen. The owner randomly surveyed sixteen hours and recorded a mean of thirteen customers per hour, a standard deviation of five customers per hour. Develop null and alternative hypothesis that will help deciding whether his shop is in trouble (when slowdown in business occurs) at the 1% significance level and calculate the p value? Question options:
0.2181
0.0008
0.9992
0.9912
H0: = 14
Ha: < 14
Test statistics
t = - / (S / sqrt(n) )
= 13 - 14 / (5 / sqrt(16) )
= -0.8
This is test statistics value.
Degrees of freedom (df) = n - 1 = 16 - 1 = 15
From T table,
p-value at test statistics of -0.8 and df of 15 = 0.2181
Decision - Since p-value > 0.01 significance level, we fail to reject H0.
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