Year 1 Stats Flashcards

(23 cards)

1
Q

What is a population?

A

The whole set of items that are of interest

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2
Q

What is a sample?

A

A whole subset of the population intended to represent the population

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3
Q

What is a sampling unit?

A

Each individual thing in a population that can be sampled

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4
Q

What is a sampling frame?

A

The list of sample units that are numbered

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5
Q

What is a census?

A

Data collected from an entire population

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6
Q

What is the advantage of using a census instead of a sample?

A

Should give a completely accurate result

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7
Q

What is the advantage of using a sample instead of a census?

A

Cheaper, quicker, less data to process

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8
Q

State the types of random sampling

A

Simple random sampling
Systemic sampling
Stratified sampling

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9
Q

State the types of non-random sampling

A

Quota sampling
Opportunity/convenience sampling

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10
Q

What is random sampling?

A

Having each sampling unit in a sampling frame having an equal chance of being chosen, in order to avoid bias

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11
Q

What is simple random sampling?

A

Every sampling unit in the sampling frame has an equal chance of being selected

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12
Q

How do you carry out simple random sampling?

A

In a sampling frame, give each item an identifying number, and select your samples using a random number generator

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13
Q

What are the advantages of simple random sampling?

A

-Bias free
-Easy and cheap

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14
Q

What are the disadvantages of simple random sampling?

A

-Not suitable when population size is large
-Sampling frame needed

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15
Q

What is systematic sampling?

A

Required elements are chosen at regular intervals in an ordered list

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16
Q

How is systematic sampling carried out?

A

Take every kth element. K = population size / sample size
Start at a random item between 1 and k and go from there, picking every kth person

17
Q

What are the advantages of systematic sampling?

A

-Simple and quick
-Suitable for large samples/populations

18
Q

What are the disadvantages of systematic sampling?

A

-Sampling frame needed
-Can introduce bias if the sampling frame isn’t random

19
Q

What is stratified sampling?

A

-Population is divided into groups, and a simple random sample is carried out in each group
-Used when a sample is large and population naturally divides into groups

20
Q

How do you calculate what proportion to use for each group in stratified sampling?

A

Sample size / population size = the percentage of each group to use.

21
Q

What are the advantages of stratified sampling?

A

-Reflects population structure
-Guarantees proportional representation of groups within population

22
Q

What are the disadvantages of stratified sampling?

A

-Population must be clearly classified into distinct strata
-Sampling frame needed per strata (group)

23
Q

What is a strata?

A

A group within a population you want to sample