Suppose that in past years the average price per square foot for
warehouses in the United States has been $31.28. A national real
estate investor wants to determine whether that figure has changed
now. The investor hires a researcher who randomly samples 48
warehouses that are for sale across the United States and finds
that the mean price per square foot is $30.66, with a standard
deviation of $1.23. Assume that prices of warehouse footage are
normally distributed in population. If the researcher uses a 5%
level of significance, what statistical conclusion can be reached?
(Round your answer to 2 decimal
places.)
Solution :
= 31.28
=30.66
S =1.23
n = 48
This is the two tailed test .
The null and alternative hypothesis is ,
H0 : = 31.28
Ha : 31.28
Test statistic = t
= ( - ) / S / n
= (30.66 -31.28) / 1.23 / 48
= -3.492
Test statistic = t = -3.492
P-value =0.0010
= 0.05
P-value <
0.0010< 0.05
Reject the null hypothesis .
There is sufficient evidence to suggest that
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