National open university of nigeria introduction to econometrics II eco 356



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Introduction to Econometrics ECO 356 Course Guide and Course Material
Introduction to Econometrics ECO 356 Course Guide and Course Material
1.1.3.4.4 Simple Random Sampling technique
Suppose the observations
,

are to be sampled from a population with mean, standard deviation, and size N in such away that every possible sample of size n has an equal chance of being selected. Then the sample
,

was selected in a simple random sample. If the sample mean is denoted by
̅ then we have


INTRODUCTION TO ECONOMETRICS II

ECO 306

NOUN
24
( ̅)


…[1.09]
V (
̅)

.

/


…[1.10]



The term .

/ in the above expression is known as the finite population correction
factor. For the sample variance
, it can be shown that


(
) .

/


…[1.11]
When using
as an estimate of
, we must adjust with


/ (
)
…[1.12] Consequently, an unbiased estimator of the variance of the sample mean is given by
̂( ̅)

.

/



…[1.13]
As a rule of thumb, the correction factor .

/ can be ignored if it is greater than
0.9, or if the sample is less than 10% of the population.
Example 2; Consider the finite population with N = 4 elements +. For this population
= 3 and
= 5. Simple random samples without replacement of size n =
2 are selected from the population. All possible samples along with their summary statistics are listed in table 1.1.1.

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