Lecture 5 Flashcards

1
Q

Sample

A

a subset of the population

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2
Q

aims of sampling

A
  • reduce cost
  • reduce time
  • generalize about the populations
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3
Q

Random sample

A

Each element in the population should have an equal chance of being selected

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4
Q

Nonrandom samples

A

Non-random samples are almost certainly biased

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5
Q

sampling distribution

A

A sampling distribution is the probability distribution of a given statistic based on a random sample

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6
Q

Sampling distributions - unbiasedness

A

the expected value of a point estimator equals the population parameter, then the point estimator is unbiased. This means that we do not constantly overestimate or underestimate the population parameter using this point estimator.

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7
Q

the central limit theorem

A

When using large n, then X flatroof is approximately normally distributed due to the central limit theorem

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