Which answer shows

i. The mean of the distribution of

ii. The standard deviation of the distribution of

iii. The mean of the distribution of p

iv. The standard deviation of the distribution of pA

i. mu hat p = np

ii. sigma overline x = sqrt(np(1 - p))

iii mu overline p = sqrt(np(1 - p))

IV. sigma hat p = sqrt((p(1 - p))/n)

1. mu overline x = mu

i.

sigma overline x = sigma/(sqrt(n))

i mu hat p =p

iv. sigma overline p = sqrt((p(1 - p))/n)

B.A

i. mu hat p = np

ii. sigma overline x = sqrt(np(1 - p))

iii mu overline p = sqrt(np(1 - p))

IV. sigma hat p = sqrt((p(1 - p))/n)

1. mu overline x = mu

i.

sigma overline x = sigma/(sqrt(n))

i mu hat p =p

iv. sigma overline p = sqrt((p(1 - p))/n)

B.OD. mu dot z = mu

i mu dot z = np

- mu dot p = np sigma overline z = sqrt((p(1 - p))/n)

iv sqrt(np(1 - p))

sigma overline z = sqrt((p(1 - p))/n)

mu dot 3 =p sigma overline p = sigma/(sqrt(n))E. 1 mu hat z =p

sigma overline x = sigma/(sqrt(n))

mu dot p = overline x

IV sigma dot p = sqrt((p(1 - p))/n)

1 answer

B.OD.

i. mu dot z = mu

ii. sigma overline z = sqrt((p(1 - p))/n)

iii. mu dot p = np

iv. sigma overline z = sqrt((p(1 - p))/n)
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