What is the difference between random variation and systematic variation in a subject’s values?  If you were a nurse researcher, which one of these do you think you would like to avoid in your study if possible (because it introduces bias)?

What is the difference between random variation and systematic variation in a subject’s values?

If you were a nurse researcher, which one of these do you think you would like to avoid in your

study if possible (because it introduces bias)?

Random variation is the expected difference in values that occur when different subjects

from the same sample are examined

  • Sample size increases, random variation decreases, improving

representativeness

oSystematic variation is a consequence of selecting subjects whose measurement values

differ in some specific way from those of the population, difference in the average

(mean) values between sample and population

What is the difference between random variation and systematic variation in a subject’s values?

If you were a nurse researcher, which one of these do you think you would like to avoid in your

study if possible (because it introduces bias)?

oRandom variation is the expected difference in values that occur when different subjects

from the same sample are examined

  • Sample size increases, random variation decreases, improving

representativeness

Systematic variation is a consequence of selecting subjects whose measurement values

differ in some specific way from those of the population, difference in the average

(mean) values between sample and population

What is the difference between random variation and systematic variation in a subject’s values?  If you were a nurse researcher, which one of these do you think you would like to avoid in your study if possible (because it introduces bias)?

Random variation is the expected difference in values that occur when different subjects from the same sample are examined Sample size increases, random variation decreases, improving representativenesso

Systematic variation is a consequence of selecting subjects whose measurement values differ in some specific way from those of the population, difference in the average (mean) values between sample and population

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