The sampling distribution can be approximated to follow the normal distribution if the sample size is large, and the values of 'np' and 'n(1-p)' are much greater than 10.
Consider option A,
[tex]\begin{gathered} np=30\times0.3=9 \\ n(1-p)=30\times(1-0.3)=21 \end{gathered}[/tex]
Consider option B,
[tex]\begin{gathered} np=22\times0.4=8.8 \\ n(1-p)=22\times(1-0.4)=13.2 \end{gathered}[/tex]
Consider option C,
[tex]\begin{gathered} np=30\times0.8=24 \\ n(1-p)=30\times(1-0.8)=6 \end{gathered}[/tex]
Consider option D,
[tex]\begin{gathered} np=22\times0.5=11 \\ n(1-p)=22\times(1-0.5)=11 \end{gathered}[/tex]
It is observed that only the values in option D, give that 'np' and 'n(1-p)' are greater than 10. Therefore, option D will be the correct choice.
