Random samples of house selling prices are obtained from the north and south regions of a country. The results are summarized below:
North South
sample size: 50 80
mean house price: 150000 160000
standard deviation: 20000 25000
At the $5\%$ level of significance, test the claim that the house selling prices are the same in the regions.
You can apply an unpaired t-test.
$H_0: \mu_x=\mu_y$
$H_1: \mu_x\neq \mu_y$
The test value is
$\large{t=\sqrt{\frac{nm}{n+m}}\cdot \frac{\overline x -\overline y}{s}}$
with $s^2=\frac{(n-1)\cdot s_x^2+(m-1)\cdot s_y^2}{n+m-2}$
If $\large{|t|>t_{(1-\frac{\alpha}{2},n+m-2)}}$, then you reject the Null-Hypothesis.
$\alpha=0.05$
The value for $t_{(0.975,128)}$ can be looked up here (one tail).
The degree of freedom is $df=50+80-2=128$