Answer :
Therefore, we lack adequate data to draw the conclusion that population means differ.
What does the test statistic actually mean?
A result of a statistical test of a hypothesis is a number known as the test statistic. It displays how closely the distribution predicted by your observed data fit the null hypothesis of that statistical test.
Here,
First hypothesis : [tex]H_{0}[/tex] : u1 - u2 = 0
Alternate hypothesis : [tex]H_{A}[/tex]: u1 - u2 ≠ 0
for 0.1 level with two tail test , critical z = 1.645
Rule of Decision: [tex]H_{0}[/tex] Reject if the test statistic's absolute value is |z|>1.645
California , New York
x1 = 64510.00 x2 = 62900.00
n1 = 45 n2 = 45
σ1 = 8200.00 σ2 = 7800.00
std error σx1-x2=√(σ21/n1+σ22/n2)=[tex]\sqrt{(8200^2/45+7800^2/45) }[/tex]= 1687.0750
test stat z =(x1-x2-Δo)/σx1-x2 =(64510-62900)/1687.0750 = 0.95
We cannot reject the null hypothesis because the test statistic does not fall into the rejection zone.
Therefore, we lack adequate data to draw the conclusion that population means differ.
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