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annals of the university of petroşani ∼ economics ∼ vol. xi - part i ...

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86 Dura, C.; Drigă, I.<br />

The research sample includes 106 companies from <strong>the</strong> productive sector, 313<br />

commercial enterprises and 206 enterprises specialized in services.<br />

In <strong>the</strong> case <strong>of</strong> non-proportional survey, <strong>the</strong> total population structure cannot<br />

be kept in <strong>the</strong> sample composition, ei<strong>the</strong>r because <strong>the</strong> dispersion <strong>of</strong> <strong>the</strong> analyzed<br />

characteristic is different from one stratum to ano<strong>the</strong>r, or because some strata are more<br />

important for <strong>the</strong> decision makers than o<strong>the</strong>rs. Regardless <strong>of</strong> <strong>the</strong> situation, <strong>the</strong> non-<br />

ranking procedure leads to estimates very close to reality, while research<br />

proportional<br />

costs are generally low.<br />

The weight <strong>of</strong> a stratum in <strong>the</strong> sample (k i ) is determined by <strong>the</strong> dispersion <strong>of</strong><br />

<strong>the</strong> characteristic <strong>of</strong> that stratum:<br />

k<br />

N ⋅σ N ⋅si<br />

= ≈<br />

N ⋅ σ N ⋅si<br />

, i i i<br />

i n n<br />

∑<br />

∑<br />

i i i<br />

i= 1 i=<br />

1<br />

where:<br />

σ i – <strong>the</strong> mean square deviation from stratum i;<br />

ŝ i – <strong>the</strong> mean square devi ation estimator corresponding t o s tratum i.<br />

,<br />

The number <strong>of</strong> elements forming stratum i ( n ) from <strong>the</strong> final sample can be<br />

i<br />

calculated as <strong>the</strong> product <strong>of</strong>:<br />

<br />

(15)<br />

N<br />

⋅ s<br />

, , i i<br />

n = k ⋅ n = ⋅n<br />

i i n<br />

∑<br />

i = 1<br />

N<br />

i<br />

⋅ s<br />

i<br />

(16)<br />

In <strong>the</strong> example above, <strong>the</strong> weights <strong>of</strong> <strong>the</strong> strata within <strong>the</strong> sample can be<br />

determined with <strong>the</strong> relation:<br />

(17)<br />

k<br />

i<br />

,<br />

=<br />

3<br />

k<br />

∑<br />

i = 1<br />

i<br />

⋅ s<br />

k<br />

i<br />

i<br />

⋅ s<br />

i<br />

k<br />

0,17 ⋅1000<br />

0,11<br />

1<br />

0,17 ⋅ 1000 + 0, 50 ⋅1500<br />

+ 0, 33 ⋅1700<br />

,<br />

k = =<br />

,<br />

2<br />

0, 50 ⋅1500<br />

= = 0, 51<br />

0,17 ⋅ 1000 + 0, 50 ⋅ 1500 + 0, 33 ⋅1700

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