Probability, Statistics and Queueing

A sample of size 36 is drawn at random from a population with a standard deviation of 12. Which of the following is the standard error of the sample mean (the standard deviation that describes the spread of the sample mean)?

  1. A2
  2. B4
  3. C12
Show answer and explanation

Answer: A. 2

The standard error of the sample mean is σ/√n, the population standard deviation σ divided by the square root of the sample size n: 12 ÷ √36 = 12 ÷ 6 = 2. With a sample four times as large, 144, the standard error halves to 1, so doubling the precision of the estimate requires four times as many samples.

  • A. Correct. 12 ÷ √36 = 2.
  • B. σ² ÷ n = 144 ÷ 36 = 4 is the variance of the sample mean, without taking the square root.
  • C. 12 is the standard deviation of the individual values in the population; the spread of the sample mean is smaller than this.
Practice this topic Back to topic

Related calculators

Books on Probability, Statistics and Queueing Ad

As an Amazon Associate I earn from qualifying purchases.

More Probability, Statistics and Queueing questions

  1. Which of the following correctly describes the meaning of a 95% confidence interval for the population mean obtained from a sample?
  2. The standard deviation of a population is known to be 10. A sample of size 100 drawn from it has a sample mean of 50.0. Taking the two-sided 95% value of the standard normal distribution to be 1.96, which of the following is the 95% confidence interval for the population mean?
  3. Which of the following correctly describes the meaning of the p-value obtained in a hypothesis test?
  4. Whether a product lot meets its specification is tested using a sample taken from it. If the null hypothesis is "this lot meets the specification", which of the following is a type I error?
  5. Requests arrive at a service window at an average of 12 per hour, and each takes an average of 4 minutes to handle. Treating it as an M/M/1 queue, which of the following is the utilization of the window?