Questions: A population of values has a normal distribution with μ=233.5 and σ=22.7. You intend to draw a random sample of size n=210.
Find P43, which is the mean separating the bottom 43% means from the top 57% means.
P43 (for sample means) =
Enter your answers as numbers accurate to 1 decimal place. Answers obtained using exact z scores or z-scores rounded to 3 decimal places are accepted.
Transcript text: A population of values has a normal distribution with $\mu=233.5$ and $\sigma=22.7$. You intend to draw a random sample of size $n=210$.
Find $P_{43}$, which is the mean separating the bottom $43 \%$ means from the top $57 \%$ means.
$P_{43}$ (for sample means) $=$ $\square$
Enter your answers as numbers accurate to 1 decimal place. Answers obtained using exact $z$ scores or $z$-scores rounded to 3 decimal places are accepted.
Solution
Solution Steps
Step 1: Calculate the Z-Score for the 43rd Percentile
To find the Z-score corresponding to the 43rd percentile, we use the formula:
\[
z = \frac{X - \mu}{\sigma}
\]
For the 43rd percentile, we have:
\[
z = \frac{0.43 - 0}{1} = 0.43
\]
Thus, the Z-score for the 43rd percentile is \( z = 0.43 \).
Step 2: Calculate the Standard Error of the Mean
The standard error of the mean (SEM) is calculated using the formula: