Samples may not be entirely reliable due to sampling bias or the influence of chance, which can be minimized by using random sampling and large sample sizes.
Namuna olish ishonchli bo'lmaydi, chunki u noto'g'ri tanlanishi (sampling bias) yoki tasodifiy omillar (chance) natijasida turlicha bo'lishi mumkin.
Front | sample not completely reliable 4.2.1(b) |
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Back | due to; - smapling bias (selection process biased e.g sampling on area that looks to have more organisms, reduced by using random sampling) - chance (organsims selected may not be representative of whole pop e.g sampling tallest organims, so assuming all are that tall, minimised using large sample size) |
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