Answer:
Explanation:
We can use the Central Limit Theorem to approximate the distribution of the sample mean. Since the sample size is large (n=61), the sample mean will be approximately normally distributed with mean μ = 2.6 feet and standard deviation σ/√n = 0.4/√61 = 0.0517 feet.
To find the probability that the sample mean is less than 2.2 feet, we standardize the sample mean as follows:
z = (x - μ) / (σ/√n) = (2.2 - 2.6) / (0.4/√61) = -3.692
We look up the probability corresponding to z = -3.692 in the standard normal distribution table or use a calculator to find the area under the standard normal curve to the left of z:
P(z < -3.692) ≈ 0.0001 (rounded to 4 decimal places)
Therefore, the probability that the mean of the sample taken is less than 2.2 feet is approximately 0.0001.