you are the operations manager for an airline and you are considering a higher fare level for passengers in…

you are the operations manager for an airline and you are considering a higher fare level for passengers in aisle seats. how many randomly selected air passengers must you survey? assume that you want to be 90% confident that the sample percentage is within 1.5 percentage points of the true population percentage. complete parts (a) and (b) below. a. assume that nothing is known about the percentage of passengers who prefer aisle seats. n = □ (round up to the nearest integer.)

you are the operations manager for an airline and you are considering a higher fare level for passengers in aisle seats. how many randomly selected air passengers must you survey? assume that you want to be 90% confident that the sample percentage is within 1.5 percentage points of the true population percentage. complete parts (a) and (b) below. a. assume that nothing is known about the percentage of passengers who prefer aisle seats. n = □ (round up to the nearest integer.)

Answer

Explanation:

Step1: Determine the z - value

For a 90% confidence level, the significance level $\alpha=1 - 0.90 = 0.10$. Then $\alpha/2=0.05$. The z - value $z_{\alpha/2}=z_{0.05}\approx1.645$.

Step2: Use the formula for sample size when $p$ is unknown

When nothing is known about the population proportion $p$, we use $p = 0.5$ (this gives the maximum value of $p(1 - p)$). The formula for sample size $n$ in estimating a proportion is $n=\frac{z_{\alpha/2}^{2}\times p(1 - p)}{E^{2}}$, where $E$ is the margin of error. Here, $E = 0.015$ (since 1.5 percentage points = 0.015), and $p = 0.5$, $1-p=0.5$. Substitute the values into the formula: [ \begin{align*} n&=\frac{(1.645)^{2}\times0.5\times(1 - 0.5)}{(0.015)^{2}}\ &=\frac{(1.645)^{2}\times0.25}{(0.015)^{2}}\ &=\frac{2.706025\times0.25}{0.000225}\ &=\frac{0.67650625}{0.000225}\ &\approx 3006.7 \end{align*} ]

Step3: Round up the sample size

Since we cannot have a fraction of a sample, we round up to the nearest integer.

Answer:

3007