Suppose that a population parameter is 0.7 and many samples are taken from the population. If the size of each sample is 50, what is the standard error of the distribution of sample proportions? O A. 0.005 OB. 0.089 O C. 0.065 O D. 0.109

To get the standard deviation of the sample proportion, we will use this formula - std = √p (1 - p) / n Replace the variables with the given values, then simplify. std

√ 0.7 ×(1 - 0.7) / 50

0.83660027 × 0.3/50

= 0.00501960162

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violetsw violetsw · Answer 2 · 2022-06-01T01:11:44+02:00

violetsw violetsw

01-06-2022

Answer:

0.065 / C

Step-by-step explanation:

the square root of the population parameter times 1 - the population paramater, in this case 1 times 0.3 divided by the sample size

[tex]\sqrt{0.7(1-0.7)/50}[/tex] =0.065 aka C

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Suppose that a population parameter is 0.7 and many samples are taken from the population. If the size of each sample is 50, what is the standard error of the distribution of sample proportions? O A. 0.005 OB. 0.089 O C. 0.065 O D. 0.109​

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Suppose that a population parameter is 0.7 and many samples are taken from the population. If the size of each sample is 50, what is the standard error of the distribution of sample proportions? O A. 0.005 OB. 0.089 O C. 0.065 O D. 0.109