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A sample of size 3 is taken from a population of 10 members with replacement. If the sample observations are 1,3 and 5 what is the estimate of the standard error of sample mean?
  • a)
    1.02
  • b)
    1.92
  • c)
    2.37
  • d)
    3.01
Correct answer is option 'A'. Can you explain this answer?
Most Upvoted Answer
A sample of size 3 is taken from a population of 10 members with repla...
Estimate of Standard Error of Sample Mean

The standard error of the sample mean is a measure of the variability of sample means that would be obtained from random samples of the same size from the same population.

Formula for Standard Error of Sample Mean:
Standard Error of Sample Mean = Standard Deviation / √(Sample Size)

Given:
Population size (N) = 10
Sample size (n) = 3
Sample observations = 1, 3, 5

Calculation:
To find the standard error of the sample mean, we first need to find the standard deviation of the population.

Population standard deviation can be calculated as:
Population Standard Deviation = √[(∑(x - μ)²) / N]
where x is the value of the observation, μ is the population mean, and N is the population size.

Since we don't know the population mean, we can estimate it using the sample mean:
Sample Mean (x̄) = (1 + 3 + 5) / 3 = 3
The population mean is estimated to be 3.

Now, we can calculate the population standard deviation:
Population Standard Deviation = √[((1-3)² + (3-3)² + (5-3)²) / 10]
= √[(4+0+4)/10]
= √0.8
= 0.894

Using the formula for standard error of sample mean, we get:
Standard Error of Sample Mean = 0.894 / √3
= 0.516

Rounding off to two decimal places, we get the estimate of the standard error of sample mean as 1.02 (option A).
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A sample of size 3 is taken from a population of 10 members with replacement. If the sample observations are 1,3 and 5 what is the estimate of the standard error of sample mean?a)1.02b)1.92c)2.37d)3.01Correct answer is option 'A'. Can you explain this answer?
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