since sample size is large ; we can use large sample
distribution
null hypothesis:Ho μ |
= |
270 |
|
Alternate
Hypothesis:Ha μ |
≠ |
270 |
|
|
|
|
|
|
for 0.01
level with two tail test , critical z= |
2.576 |
(from excel:normsinv(0.005) |
Decision rule:reject Ho if absolute test
stat|z|>2.576 |
|
|
|
|
|
|
|
population mean μ= |
|
270 |
|
|
sample mean 'x̄= |
|
280.000 |
|
|
sample size n= |
|
100 |
|
|
std deviation σ= |
|
15.00 |
|
|
std error ='σx=σ/√n=15/√100= |
1.500 |
|
|
z statistic= ='(x̄-μ)/σx=(280-270)/1.5= |
6.67 |
|
since test statistic falls in rejection region we reject null
hypothesis |
we have sufficient evidence to reject the HSP university's
claim. |