A real estate agent wishes to determine whether tax assesso s and real estate appraisers agree on the values of homes. A random sample of the two g oups appraised 10 homes. Is there a significant difference in the values of the homes for each group? Let a = 0.05. Assume the data are from normally distributed populations.
Reference Points
x
s
n
Starting Salaries
Real Estate Appraisers
php 83 256
php 3256
10
Tax Assessors
php 88 354
php 2341
10
"\\bar x_1=83256,s_1=3256,n_1=10,\\\\\n\\bar x_2=88354,s_2=2341,n_2=10."
Our null hypothesis is that the values of the homes for each group are the same:
"H_0:\\mu_1=\\mu_2."
The alternative hypothesis is that the means are not equal:
"H_1:\\mu_1\\ne\\mu_2."
We calculate the pooled standard deviation:
"s_p^2=\\cfrac{((n_1-1)s_1^2+(n_2-1)s_2^2)}{n_1+n_2-2}=\\\\\n=\\cfrac{((10-1)\\cdot 3256^2+(10-1)\\cdot 2341^2)}{10+10-2}=\\\\\n=8040908.5;\\\\\ns_p=\\sqrt{8040908.5}=2835.6."
Next, we calculate the test statistic t:
"t=\\cfrac{\\bar x_1-\\bar x_2}{s_p\\sqrt{1\/n_1+1\/n_2}}=\\\\\n=\\cfrac{83256-88354}{2835.6\\sqrt{1\/10+1\/10}}=-4.0201."
Using the t-table we find the t-value with α = 0.05 and 18 degrees of freedom
(df = n1+ n2 - 2 = 10 + 10 - 2 = 18):
"t_{0.05;18}=1.734."
The test statistic is higher than the t value. We reject the hypothesis of equal means, there is a significant difference in the values of the homes for each group.
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