Answer:
The standard deviation of the sampling distribution of sample means (also known as the standard error of the mean) can be calculated using the formula:
standard error = standard deviation / square root of sample size
In this case, the standard deviation of the population is 1.1 years, and the sample size is 35. Substituting these values into the formula, we get:
standard error = 1.1 / sqrt(35) ≈ 0.186
Rounding to two decimal places, the standard deviation of the sampling distribution of sample means is approximately 0.19 years.
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Explanation: