In a study to estimate the proportion of residents in a city that support the construction of a new bypass road in the vicinity, a random sample of 900 residents were polled. LetX+/900/2X denote the number in the sample who supported the proposal. To estimate the true proportion in support of the plan, we can compute îiThe estimator p has900biasOA. 1/900.ОВ. 30/2.OC. 1/(2 x 30).OD. 0, so unbiased.OE. 1/30.

The bias of an Estimator: It is the difference between the estimated value to the actual value. If…

In a study to estimate the proportion of residents in a city that support the construction of a new bypass road in the vicinity, a random sample of 900 residents were polled. Let X denote the number in the sample who supported the proposal. To estimate the true proportion in support of the plan, we can compute ip = X+v900/2 . The estimator p has 900 bias OA. 1/900. OB. 30/2. OC. 1/(2 x 30). OD. 0, so unbiased. OE. 1/30.

In a study to estimate the proportion of residents in a city that support the construction of a new bypass road in the vicinity, a random sample of 900 residents were polled. Let X denote the number in the sample who supported the proposal. To estimate the true proportion in support of the plan, we can compute ip = X+v900/2 . The estimator p has 900 bias OA. 1/900. OB. 30/2. OC. 1/(2 x 30). OD. 0, so unbiased. OE. 1/30.

Calculus For The Life Sciences

2nd Edition

ISBN:9780321964038

Author:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.

Publisher:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.

Chapter1: Functions

Section1.2: The Least Square Line

Problem 1E

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