Answer:
For this case a parameter represent the population data and for this case the parameter would be the true mean [tex]\mu[/tex] who represent the amount of gasoline they used in the previous week
[tex]\bar X= \frac{\sum_{i=1}^n X_i}{3800} =11.75[/tex]
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 [tex]\mu[/tex] 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:
[tex] \bar X = \frac{\sum_{i=1}^n X_i}{n}[/tex]
And we got:
[tex]\bar X= \frac{\sum_{i=1}^n X_i}{3800} =11.75[/tex]
And the sample mean is an unbiased estimator of the true mean.