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 1600 residents were polled. Let X denote the number in the sample who supported the proposal. To estimate the tru X+v1600/2 proportion in support of the plan, we can compute p The estimator p has bias 1600

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 1600 residents were polled. Let X denote the number in the sample who supported the proposal. To estimate the tru X+v1600/2 proportion in support of the plan, we can compute p The estimator p has bias 1600

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Description: In a study to estimate the proportion of residents in a city that support the construction of a new bypass road in the vicinity, arandom sample of 1600 residents were polled. Let X denote the number in the sample who supported the proposal. To estim

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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According to Example 9.17 on p. 257, there is no significant difference, at the 5% level,between towns A and B in their support for the candidate. However, the level α = 0.05 was chosen rather arbitrarily, and the candidate still does not know if he can trust the results when planning his campaign. Can we compare the two towns at all reasonable levels of significance? Compute the P-value of this test and state conclusions. Example 9.17 -> the interval is [-0.14, 0.16]
The proportion of defective items is not allowed to be over 12%. A buyer wants to test whether the proportion of defectives in his shipment of 1000 items exceeds the allowable limit. The buyer takes a SRS of 100 items and finds that 19 are defective. State the null and alternative hypotheses for this test. Group of answer choices Ho: p = 0.12 vs Ha: p > 0.12 Ho: p = 0.19 vs Ha: p ≠ 0.12 Ho: p = 0.12 vs Ha: p < 0.19 Ho: p = 0.12 vs Ha: p = 0.19
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