Sampling And Census Flashcards

(16 cards)

1
Q

It is a relative thing that we have to establish. It is the main group of the study and might involve future participants.

A

Population

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2
Q

We use this to study the population

A

Parameters

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3
Q

It is what we can do to estimate parameters.

A

Statistics

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4
Q

It is a scientific way of studying samples

A

Statistics

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5
Q

If X is normally distributed then x(bar) is ____

A

Normally distributed

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6
Q

Mean of population is equal to the

A

Summation of all averages

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7
Q

This states that if you take large samples from a population, the sample means will be normally distributed.

A

Central Limit Theorem

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8
Q

As n > ___, the population becomes normally distributed.

A

30

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9
Q

This is the estimated proportion.

A

Sample Proportion

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10
Q

It is a type of sampling where after choosing a subject, you follow a system to choose the next subject. (Ex. Every 5th)

A

Systematic Sampling

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11
Q

It is a probability sampling where the population is grouped by strata by a certain common characteristic that can affect your study.

A

Stratified Sampling

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12
Q

In grouping by strata, there should be clear ________ set.

A

Boundaries

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13
Q

In this sampling, we group participants by strata again but there is no inherent characteristics that differentiates them. Their groups do not explain or connect to their answers.

A

Cluster Sampling

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14
Q

How can we use the cluster sampling?

A
  1. Choose 1st stage clusters then choose 2 stage clusters and then look for individuals under that cluster
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15
Q

It is the easiest way of gathering samples but may appear biased and unrepresentative.

A

Convenience Sampling

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16
Q

It is a sampling method where you have to complete or achieve a certain number but may also have an issue regarding how representative they are.

A

Quota Sampling