Suppose that in past years the average price per square foot for warehouses in the United States has been $32.26. A national real estate investor wants to determine whether that figure has changed now. The investor hires a researcher who randomly samples 49 warehouses that are for sale across the United States and finds that the mean price per square foot is $31.66, with a standard deviation of $1.27. 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.)
The value of the test statistic is
Solution :
= 32.26
=31.66
S =1.27
n = 49
This is the two tailed test .
The null and alternative hypothesis is ,
H0 : = 32.26
Ha : 32.26
Test statistic = t
= ( - ) / S / n
= (31.66 - 32.26) /1.27 / 49
= −3.307
Test statistic = t = −3.31
P-value =
= 0.05
P-value <
0.0018 < 0.05
Reject the null hypothesis .
There is sufficient evidence to suggest that
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