Answer:
For this case the average is an statistic unbiased for the population parameter [tex] \mu[/tex]
And the average is calculated with the following formula:
[tex] \bar X = \frac{\sum_{i=1}^n X_i}{n}[/tex]
Where n represent the sample size
N represent the population size, and X the observations for this case the annual income.
This statistic is an unbiased estimator of the population mean since [tex] E(\bar X) = \mu [/tex]
After calculate the average they got:
[tex] \bar X= 35031[/tex]
And we can use the term "sample mean" instead of the average, and is a measure of central tendency for the data
Step-by-step explanation:
For this case the average is an statistic unbiased for the population parameter [tex] \mu[/tex]
And the average is calculated with the following formula:
[tex] \bar X = \frac{\sum_{i=1}^n X_i}{n}[/tex]
Where n represent the sample size
N represent the population size, and X the observations for this case the annual income.
This statistic is an unbiased estimator of the population mean since [tex] E(\bar X) = \mu [/tex]
After calculate the average they got:
[tex] \bar X= 35031[/tex]
And we can use the term "sample mean" instead of the average, and is a measure of central tendency for the data