Statistics

Created by: Harriet Barnett
Created on: 22-04-13 14:11

Numerical data such as time, age and height

Quantitative

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Non – numerical such as opinions, favourite subjects, gender

Qualitative

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Data jumps from one measurement to the next. The measurements in between have no meaning, such as shoe size, number of goals scored at a football match.

Discrete

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Data does not jump from one measurement to the next, but passes smoothly through all the measurements in between such as, time, height.

Continuous

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Data that is collected by or for the person who is going to use it

Primary Data

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Data that is not collected by or for the person who is going to use it

Secondary Data

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The collection of ALL the items about which we want to know some characteristics.

Population

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To collect information from every member of the population

Census

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A simple random sample gives each member of the population an equal chance of being chosen. This can be achieved using random number tables.

Simple Random Sample

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This is random sampling with a system! From the sampling frame, a starting point is chosen at random, and thereafter at regular intervals. For example, suppose you want to sample 8 houses from a street of 120 houses. 120/8=15, so every 15th house

Systematic Sampling

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In this method the units sampled are chosen in clusters, close to each other. Examples are households in the same street, or successive items off a production line. The population is divided into clusters, and some of these are then chosen at

Cluster Sampling

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In this method the selection of the sample is made by the interviewer, who has been given quotas to fill from specified subgroups of the population. For example, an interviewer may be told to sample 50 females between the age of 45 and 60.

Quota Sampling

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This method will give a sample proportional to the size of the strata.

Stratified Sampling

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Other cards in this set

Card 2

Front

Non – numerical such as opinions, favourite subjects, gender

Back

Qualitative

Card 3

Front

Data jumps from one measurement to the next. The measurements in between have no meaning, such as shoe size, number of goals scored at a football match.

Back

Card 4

Front

Data does not jump from one measurement to the next, but passes smoothly through all the measurements in between such as, time, height.

Back

Card 5

Front

Data that is collected by or for the person who is going to use it

Back

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