An article in Journal of the American Statistical Association (1990, Vol. 85, pp. 972-985) measured weight of 30 rats under experiment controls. Suppose that there are 12 underweight rats. (a) Calculate a 99% two-sided confidence interval on the true proportion of rats that would show underweight from the

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**Journal Article Analysis: Rat Weight Experiment**

An article in the *Journal of the American Statistical Association* (1990, Vol. 85, pp. 972–985) examined the weight of 30 rats under controlled experimental conditions, noting that 12 rats were underweight. 

**Task (a):** Calculate a 99% two-sided confidence interval for the true proportion \( p \) of rats that would be underweight in this experiment. Ensure your answers are rounded to three decimal places.

\[ \text{Confidence Interval: } \quad \text{[ ]} \leq p \leq \text{[ ]} \]

**Task (b):** Based on the preliminary sample's point estimate of \( p \), determine the sample size required to ensure that the error in estimating the true value of \( p \) is no greater than 0.02 with 99% confidence.

\[ n = \text{[ ]} \]

**Task (c):** Calculate the necessary sample size to ensure a 99% confidence that the error in estimating \( p \) is less than 0.02, irrespective of the true value of \( p \).

\[ n = \text{[ ]} \]
Transcribed Image Text:**Journal Article Analysis: Rat Weight Experiment** An article in the *Journal of the American Statistical Association* (1990, Vol. 85, pp. 972–985) examined the weight of 30 rats under controlled experimental conditions, noting that 12 rats were underweight. **Task (a):** Calculate a 99% two-sided confidence interval for the true proportion \( p \) of rats that would be underweight in this experiment. Ensure your answers are rounded to three decimal places. \[ \text{Confidence Interval: } \quad \text{[ ]} \leq p \leq \text{[ ]} \] **Task (b):** Based on the preliminary sample's point estimate of \( p \), determine the sample size required to ensure that the error in estimating the true value of \( p \) is no greater than 0.02 with 99% confidence. \[ n = \text{[ ]} \] **Task (c):** Calculate the necessary sample size to ensure a 99% confidence that the error in estimating \( p \) is less than 0.02, irrespective of the true value of \( p \). \[ n = \text{[ ]} \]
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