Statistics Definitions Flashcards

1
Q

Define population

A

The whole set of items that are of interest to

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2
Q

Define a sample

A

Some subset of the population intended to represent the population.

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3
Q

What is a sampling unit

A

Each individual within the pop. That can be sampled

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4
Q

What is a sampling frame

A

A list of all the units in the pop.

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5
Q

Define a statistic

A

A value calculated from a sample data e.g mean

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6
Q

Define a parameter

A

A value calc. From the pop. Data

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7
Q

Define a census

A

Data collected from the entire pop.

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8
Q

State the adv and disadvantages of a census

A

Advantages-
high accuracy
Dis-
time consuming
Expensive
Large vol. of data to process

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9
Q

Sate the disadvantage and advantages of a sample

A

Advantages-
Cheaper
Quicker
Less data to process
Disadvantages-
Not as accurate
Data may not be large enough to represent small sub-groups

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10
Q

Explain simple random sampling

A

This is when each item in the sampling frame has an identifying number. And a random number generator is used to pick the items randomly

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11
Q

Define random

A

Every item in the sampling frame has an equal chance of being chosen

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12
Q

State the advantages and disadvantages of simple random sampling

A

Adv -
Bias free
Easy+cheap
Each number has a known chance of being selected
Disadvantage-
Not suitable when pop. Is large
Sampling frame needed

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13
Q

Explain systematic sampling

A

Required elements are hoses at regular intervals in ordered list,
To take the k^th elements where:
K= pop size/samp size
Then choosing a random number between 1 and k

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14
Q

State the adv and disadv of systematic sampling

A

Adv-
Simple and quick
Suitable for large pop
Disadv-
Sampling frame needed
Can introduce bias if the sampling frame is not random

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15
Q

Explain stratified sampling

A

Pop is divided into groups and a simple random sample is carried out in each group.

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16
Q

Adv and disadv of stratified sampling

A

Adv-
Reflects the pop
Guarantees proportional representation of group within pop
Disadv-
Pop must be clearly classified into distinct strata (groups )
Selection within each stratum suffers from same disadvantage as simple random sampling