Question #313305

Student , Height , X²



Hazel Kim , 1.47 , 2.16



Mee Ann Mae , 1.58 , 2.50



Grace Ann , 1.67 , 2.79



Jethro , 1.69 , 2.86



Chelsea Mae , 1.51 , 2.28



TOTAL: 9.92 , 12.59



1. Solve for the mean of the population μ.



2. Solve for the mean of the sampling distribution of the sample means Hr.



3. Compare u and ur.



4. Solve for the variance (a) and the standard deviation (a) of the population.



5. Solve the variance (or) and the standard deviation (ar) of the sampling distribution of the sample means Hr.



6. Compare a and or.

1
Expert's answer
2022-03-19T02:39:23-0400

μ=1.47+1.58+1.67+1.69+1.51/5=1.58\mu=1.47+1.58+1.67+1.69+1.51/5=1.58

2.μ(X2)=2.16+2.5+2.79+2.86+2.28=2.518\mu(X^2)=2.16+2.5+2.79+2.86+2.28=2.518

μ(X2)=1.59\sqrt{\mu(X^2)}=1.59


3. μ<μ(X2)\mu<\mu(X^2)

This is due to rounding error.

4.VarianceS2=(1.581.47)2+(1.581.58)2+(1.581.67)2+(1.581.69)2+(1.581.51)24=0.0121+0+0.0081+0.0121+0.00494=0.096S^2=\sqrt{\frac{(1.58-1.47)^2+(1.58-1.58)^2+(1.58-1.67)^2+(1.58-1.69)^2+(1.58-1.51)^2}{4}}=\sqrt{\frac{0.0121+0+0.0081+0.0121+0.0049}{4}}=0.096

Deviation

σ=S2=0.31\sigma=\sqrt{S^2}=0.31

5.S2(or)=(2.522.16)2+(2.522.5)2+(2.522.79)2+(2.522.86)2+(2.522.28)24=0.1296+0.0004+0.0729+0.1156+0.05764=0.31S^2(or)=\sqrt{\frac{(2.52-2.16)^2+(2.52-2.5)^2+(2.52-2.79)^2+(2.52-2.86)^2+(2.52-2.28)^2}{4}}=\sqrt{\frac{0.1296+0.0004+0.0729+0.1156+0.0576}{4}}=0.31


σ(ar)=or=0.56\sigma(ar)=\sqrt{or}=0.56

6. ar is a square root of a, as x and x2.

0.31=0.56\sqrt{0.31}=0.56




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