A study by Colliers International presented the highest and the lowest global rental rates per year per square foot of office space. Among the cities with the lowest rates were Perth, Australia; Edmonton, Alberta, Canada; and Calgary, Alberta, Canada, with rates of $8.81, $9.55, and $9.69, respectively. At the high end were Hong Kong; Mumbai, India; and Tokyo, Japan, with rates over $100.
Suppose a researcher conducted her own survey of businesses renting office space to determine whether one city is significantly more expensive than another. The data are tallied and analyzed by using Minitab. The results follow. Discuss the output. Assume that rental rates are normally distributed in the population. What cities were studied? How large were the samples? What were the sample statistics? What was the value of alpha? What were the hypotheses, and what was theconclusion?

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Two-Sample T-Test and CI Sample Hong Kong 19 130.4 12.9 Mumbai N Mean StDev SE Mean 3.0 2.9 23 128.413.9 Difference= mu (Hong Kong) -mu (Mumbai ) Estimate for difference: 2.00 98% CI for difference: (-8.11, 12.11) T-Test of difference = 0 (vs not =): T-Value 0.48 P-Value 0.634 DF40 Both use Pooled StDev- 13.4592