Questions: If n=160 and p̂=0.55, construct a 90% confidence interval about the population proportion. Round your answers to three decimal places. Preliminary: a. Is it safe to assume that n ≤ 0.05 of all subjects in the population? No Yes b. Verify n p̂(1-p̂) ≥ 10. Round your answer to one decimal place. n p̂(1-p̂)= Confidence Interval: What is the 90% confidence interval to estimate the population proportion? Round your answer to three decimal places. <p<

If n=160 and p̂=0.55, construct a 90% confidence interval about the population proportion. Round your answers to three decimal places.

Preliminary:
a. Is it safe to assume that n ≤ 0.05 of all subjects in the population?
No
Yes
b. Verify n p̂(1-p̂) ≥ 10. Round your answer to one decimal place.

n p̂(1-p̂)=

Confidence Interval: What is the 90% confidence interval to estimate the population proportion? Round your answer to three decimal places.
<p<
Transcript text: If $n=160$ and $\widehat{p}=0.55$, construct a $90 \%$ confidence interval about the population proportion. Round your answers to three decimal places. Preliminary: a. Is it safe to assume that $n \leq 0.05$ of all subjects in the population? No Yes b. Verify $n \widehat{p}(1-\hat{p}) \geq 10$. Round your answer to one decimal place. \[ n \widehat{p}(1-\widehat{p})= \] Confidence Interval: What is the $90 \%$ confidence interval to estimate the population proportion? Round your answer to three decimal places. $
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Solution

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Solution Steps

Step 1: Preliminary Check for Population Assumption

To determine if it is safe to assume that \( n \leq 0.05 \) of all subjects in the population, we note that we do not have the total population size. Therefore, we can conclude that it is not safe to make this assumption.

Step 2: Verification of \( n \widehat{p}(1-\widehat{p}) \)

We calculate \( n \widehat{p}(1-\widehat{p}) \) to verify if it meets the condition \( n \widehat{p}(1-\widehat{p}) \geq 10 \):

\[ n \widehat{p}(1-\widehat{p}) = 160 \times 0.55 \times (1 - 0.55) = 39.6 \]

Since \( 39.6 \geq 10 \), the condition is satisfied.

Step 3: Confidence Interval Calculation

We compute the \( 90\% \) confidence interval for the population proportion \( p \) using the sample proportion \( \widehat{p} = 0.55 \) and sample size \( n = 160 \). The resulting confidence interval is:

\[ 0.485 < p < 0.615 \]

Final Answer

The answers to the questions are as follows:

  • a. Is it safe to assume that \( n \leq 0.05 \) of all subjects in the population? No
  • b. Verify \( n \widehat{p}(1-\widehat{p}) \geq 10 \): \( n \widehat{p}(1-\widehat{p}) = 39.6 \)
  • Confidence Interval: \( 0.485 < p < 0.615 \)

Thus, the final boxed answers are: \[ \boxed{\text{a: No, b: 39.6, Confidence Interval: } 0.485 < p < 0.615} \]

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