A population is normally distributed with mean and standard deviation . From this population, a random sample of size is taken, and a confidence interval for the population mean is constructed using the sample mean. The resulting confidence interval is 1.2 $$\leq$$ m $$\leq$$ a. Find the value of . (Here, denotes a standard normal random variable, and use .) [3 points]Compute .\
\boxed{55}
[THOUGHT] [PYTHON] from fractions import Fraction
z = Fraction(258, 100) # 2.58 = 258/100 sigma = Fraction(5) n = 36 E = z * (sigma / 6) # since sqrt(36) = 6 a = 2 * E + Fraction(6, 5) # 1.2 = 6/5 result = 10 * a
print("a =", a) print("10a =", result) [/PYTHON] \boxed{55}
To solve the problem, we begin by understanding how a confidence interval for the population mean $ from a normal distribution is constructed.
Given:
- Population standard deviation:
- Sample size:
- Confidence level: 99%
- Z-score corresponding to 99% confidence:
- The confidence interval is given as
This implies that the lower bound of the interval is 1.2 and the upper bound is . Since the confidence interval for the mean is symmetric about the sample mean , we can write:
Where is the margin of error, given by:
Now, since the lower bound is 1.2:
Then the upper bound becomes:
Finally, compute: