A population has an average of 150,000 with a standard deviation of 27,000. A random sample of 81 items is chosen. What is the standard error?
SEm = SD/√n = 27,000/√81 = ?
SD/√n = 27,000/√81 =3,000
To calculate the standard error, you need to divide the standard deviation by the square root of the sample size.
Given that the population standard deviation is 27,000, and the sample size is 81, you can calculate the standard error as follows:
Standard error = Population standard deviation / √Sample size
Standard error = 27,000 / √81
Standard error = 27,000 / 9
Standard error = 3,000
Therefore, the standard error of the sample is 3,000.
To calculate the standard error of a sample mean, you need to divide the standard deviation of the population by the square root of the sample size.
In this case, the standard deviation of the population is given as 27,000, and the sample size is 81.
To calculate the standard error, you can use the formula:
Standard Error = Standard Deviation / √(Sample Size)
Plugging in the values:
Standard Error = 27,000 / √(81)
Now, let's simplify the equation:
Standard Error = 27,000 / 9
Finally, calculate the standard error:
Standard Error = 3,000
Therefore, the standard error for the given sample is 3,000.