Answer:
The standard error of the mean is 0.85
Step-by-step explanation:
* Lets revise some definition to solve the problem
- The mean of the distribution of sample means is called the expected
value of M
- It is equal to the population mean μ
- The standard deviation of the distribution of sample means is called
the standard error of M
- The rule of standard error is σM = σ/√n , where σ is the standard
deviation and n is the size of the sample
* lets solve the problem
- The mean of a population being sampled is 64
∴ μ = 64
- The standard deviation is 6
∴ σ = 6
- The sample size is 50
∴ n = 50
∵ The standard error is σM = σ/√n
∴ The standard error is σM = 6/√50 = 0.8485
* The standard error of the mean is 0.85
Answer:
The standard error of mean is 0.85
Step-by-step explanation:
[tex]\frac{6}{\sqrt{50} }= 0.848528137[/tex]
This rounds to 0.85