written 7.7 years ago by | modified 2.2 years ago by |
Mumbai University > Mechanical Engineering > Sem 4 > Applied Mathematics IV
Marks: 5M
Year: Dec 2014
written 7.7 years ago by | modified 2.2 years ago by |
Mumbai University > Mechanical Engineering > Sem 4 > Applied Mathematics IV
Marks: 5M
Year: Dec 2014
written 7.7 years ago by | • modified 7.7 years ago |
n = 900 ($\gt$30, so it a large sample) $$\overline{x} = 65.3 ; \sigma =5$$
Step 1 :
Null Hypothesis ($H_0)\ :\ \mu $ = 66.2 (the sample belongs to the population with mean 66.2)
Alternative hypothesis ($H_A)\ :\ \mu $ $\mathrm{\neq}$ 66.2 (the sample does not belong to the population with mean 66.2)
Step 2 :
L.O.S : 5%
Hence , Critical value ($z_{\propto }$) = 1.96
Step 3 :
Since the sample is large,
S.E. = $\sigma /\sqrt{n}$ = 5/$\sqrt{900}$ = 0.1667
Step 4 :
Test statistics : $$z_{cal}=\ \ \overline{x}-\ \mu /S.E. = (65.3-66.2)/0.1667 = -5.4$$
Step 5 :
Decision :
Since, $z_{cal}\gt z_{\propto }$ , $H_0$ is rejected.
$\boldsymbol{\mathrm{\therefore }}$ Sample does not belong to the population with mean 66.2