Based on their records, a hospital claims that the proportion, p, of full-term babies born in the community that weigh more than 7 pounds is 43%. A pediatrician who works with several hospitals in the community would like to verify the hospital's claim. In a random sample of 250 babies born the community, 113 weighed over 7 pounds. Is there enough evidence to reject the hospital's claim at the 0.10 level of significance? Perform a two-tailed test. Then complete the parts below. Carry your intermediate computations to three or more decimal places. (If necessary, consult a list of formulas.) (a) Find the p-value. (Round to three or more decimal places.) (b) Can we reject the claim that the proportion of full-term babies born in the community that weigh more than 7 pounds is 43%? OYes O No 3 XI ローロ a S OSO □<ロ Р O
Based on their records, a hospital claims that the proportion, p, of full-term babies born in the community that weigh more than 7 pounds is 43%. A pediatrician who works with several hospitals in the community would like to verify the hospital's claim. In a random sample of 250 babies born the community, 113 weighed over 7 pounds. Is there enough evidence to reject the hospital's claim at the 0.10 level of significance? Perform a two-tailed test. Then complete the parts below. Carry your intermediate computations to three or more decimal places. (If necessary, consult a list of formulas.) (a) Find the p-value. (Round to three or more decimal places.) (b) Can we reject the claim that the proportion of full-term babies born in the community that weigh more than 7 pounds is 43%? OYes O No 3 XI ローロ a S OSO □<ロ Р O
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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Nm 16
![Based on their records, a hospital claims that the proportion, \( p \), of full-term babies born in the community that weigh more than 7 pounds is 43%. A pediatrician who works with several hospitals in the community would like to verify the hospital's claim. In a random sample of 250 babies born in the community, 113 weighed over 7 pounds. Is there enough evidence to reject the hospital's claim at the 0.10 level of significance?
Perform a two-tailed test. Then complete the parts below.
Carry your intermediate computations to three or more decimal places. (If necessary, consult a list of formulas.)
---
(a) Find the \( p \)-value. (Round to three or more decimal places.)
\[ \text{(Answer box for \( p \)-value)} \]
(b) Can we reject the claim that the proportion of full-term babies born in the community that weigh more than 7 pounds is 43%?
\[ \text{O Yes} \quad \text{O No} \]
---
A diagram is displayed with statistical symbols:
- \(\mu, \sigma, p\) (population parameters)
- \(X, s, \hat{p}\) (sample statistics)
Graphs or charts are not present in the provided text.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F20615b5a-5cc8-4a58-b27f-0daf109d4029%2F709d241d-d7fc-46d5-b941-ad5cb3336c67%2F0toj4vf_processed.jpeg&w=3840&q=75)
Transcribed Image Text:Based on their records, a hospital claims that the proportion, \( p \), of full-term babies born in the community that weigh more than 7 pounds is 43%. A pediatrician who works with several hospitals in the community would like to verify the hospital's claim. In a random sample of 250 babies born in the community, 113 weighed over 7 pounds. Is there enough evidence to reject the hospital's claim at the 0.10 level of significance?
Perform a two-tailed test. Then complete the parts below.
Carry your intermediate computations to three or more decimal places. (If necessary, consult a list of formulas.)
---
(a) Find the \( p \)-value. (Round to three or more decimal places.)
\[ \text{(Answer box for \( p \)-value)} \]
(b) Can we reject the claim that the proportion of full-term babies born in the community that weigh more than 7 pounds is 43%?
\[ \text{O Yes} \quad \text{O No} \]
---
A diagram is displayed with statistical symbols:
- \(\mu, \sigma, p\) (population parameters)
- \(X, s, \hat{p}\) (sample statistics)
Graphs or charts are not present in the provided text.
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