Chapter 7 Flashcards

1
Q

Simple Random Sample

A

every member of the population has an equal chance of being selected
1/N

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2
Q

Stratified Random Sample

A

divide the population into mutually exclusive groups and randomly sample from each group
-bigger group, bigger sample from that group

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3
Q

Systematic Sampling

A

selecting every kth member of the population

K= N/n Take every 10th student

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4
Q

Cluster Sampling

A

randomly selecting clusters as samples

  • states
  • mini snapshots
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5
Q

Sampling Error

A

difference between the statistic and parameter
x ̅ - μ
-control by increasing sampling size

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6
Q

Coverage Error

A

error in sampling frame

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7
Q

Non-Response Error

A

failure to obtain responses from samples

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8
Q

Measurement Error

A

error in responses of the samples

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9
Q

Sampling Distribution: If the sample drawn is normal

A

the sample mean will also follow a normal distribution. x ̅~normal (μ=μ_x ̅ ,σ_x ̅ =σ/√n)

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10
Q

Sampling Distribution: If the sample drawn has an unknown distribution

A

use the central limit theorem

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11
Q

Central Limit Theorem

A

the sample mean will be approximately normal for n ≥ 30
x ̅~approximately normal(μ=μx ̅ ,σx ̅ =σ/√n)
P(x ̅<(a-μx ̅ )/σx ̅ )

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