Answer:
The answer is below
Step-by-step explanation:
Given that mean (μ) = 23 hours, standard deviation (σ) = 10 hours
a) The population is a group of self employed home based workers while the variable is the number of hours worked per week.
b) The mean of the distribution of sample means (also known as the Expected value of M) is equal to the population mean μ.
[tex]\mu_x=\mu=23\ hours[/tex]
The standard deviation of the distribution of sample means is called the Standard Error of M, it is given by:
[tex]\sigma_x=\sigma/\sqrt{n} =\frac{10}{\sqrt{100} }=1[/tex]
c) [tex]\mu_x=\mu=23\ hours[/tex]
[tex]\sigma_x=\sigma/\sqrt{n} =\frac{10}{\sqrt{1000} }=0.32[/tex]
d) The sample size has no effect on the mean, hence increasing the sample size does not change the mean.
The square root of sample size is inversely proportional to the standard deviation therefore increasing the sample size reduces the standard deviation.
