Answer:
For this case a parameter represent the population data and for this case the parameter would be the true mean 
who represent the amount of gasoline they used in the previous week
And the sample mean is an unbiased estimator of the true mean.
Step-by-step explanation:
For this case a parameter represent the population data and for this case the parameter would be the true mean who represent the amount of gasoline they used in the previous week
And in order to estimate the parameter of interest we use a survey of n =3800 and the sample mean who represent an statistic is given by:
And we got:
And the sample mean is an unbiased estimator of the true mean.
Yes what do you need help with?
Hi there!
We can use the following equation:
z = amount of standard deviations away a value is from the mean (z-score)
σ = standard deviation
x = value
μ = mean
Plug in the knowns for both and rearrange to solve for the mean:
Other given:
Set both equal to each other and solve:
I don't know if that is 100 tvs or one 100 inch tv.
If it is 100 tvs then the person would have 301,800 dollars.
3,000 times 1000 plus 1800 equals= 301,800
If it is one 100 inch tv then the person would have 4,800 dollars
3,000+1800=4800.
