n (Sample size) = 1600 children
\(\overline{x}\) (Sample mean) = 99
µ (Population mean) = 100
σ (Population SD) = 15
α (Level of significance) = 5%
Null hypothesis H0 : µ = 100
(Sample has been drawn from a population with mean 100 and S.D 15)
Alternative hypothesis H1 : µ ≠ 100
(Sample has not been taken from a population with mean 100 and S.D 15)
Test statistic :
The significant value or table value Zα/2= 1.96.
Comparing the values, we see that 2.67 > 1.96 (or) Z > Zα/2 at 5% level of significance. So the null hypothesis is rejected. Hence we conclude that the random sample is not taken from a population with mean I.Q = 100 and S.D = 15.