Solution :
Given :
"\\overline{X}= 147" ,"\\sigma= 100," "\\mu=145" , n= 35
i)First, we develop our null and alternative hypotheses:
"H_{o}:\\mu =145"
"H_{a}:\\mu >145"
ii)standard error = "\\frac{\\sigma }{\\sqrt{n}}" ="\\frac{100 }{\\sqrt{35}}" = 16.9031
iii)
Critical region:
From the alternative hypothesis, it is clear that the test is right-tailed Z test.
The level of significance is 0.05
From standard normal table or ti84 at 0.05 level of significance, the right tailed critical value is, Z= invnorm (1-0.05)= invnorm (0.95)= 1.645
iv)
The z-statistic is computed as follows:
z= "\\frac{\\overline{X}-\\mu }{\\frac{\\sigma }{\\sqrt{n}}}" = "\\frac{147-145 }{\\frac{100 }{\\sqrt{35}}}" = 0.118
Since it is observed that "z = 0.118 \\le z_c = 1.64" ,it is then concluded that the null hypothesis is not rejected.
It is concluded that the null hypothesis Ho is not rejected. Therefore, there is not enough evidence to claim that the population mean μ is greater than 145, at the 0.05 significance level.
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