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# Information Handling - Essay Example

## Extract of sampleInformation Handling

There are key terms used in sampling.  They include: -(i) Population – This refers to the set of units under study.  The study should not go beyond the population i.e. outside the population. (Abell, & Oxbrow, 2001.p. 200).(ii) Sample - This refers to a part of the population.  It is usually hard to study the population as a whole hence the use of sample (Grimshaw, 2003p.86).Basically a sample should reflect the population (Taylor, Farrell, 1994p. 118).  There are ways in which a stratified sample can reflect a population.  For example in our case of Tundra.com the stratified sample of size 300 can reflect the population (David P. Best (1996.p166p).  This is possible through ways such as: -(i) Using the proportion of customers given for each group in relation to the total proportion.  Multiplying the total sample size with proportion for each group will give the sample size.(ii) Using the variability of expenditure for each group we can compute sample proportion.  This is through dividing the variability of expenditure for each group by the total variability and multiplying by the sample size of 300.(iii) Using the cost per respondent for each group with regards to gathering data can help in giving sample size.Due to the need of Tundra.com to break into the higher education market, an interview has been carried out.  This was aimed at gauging the viability of the market.  It was carried out in London.SummaryDifferent ways were used in finding how a 300 size sample could reflect the population. ...Show more

## Summary

In the paper “Information Handling” the author  provides information and analysis how to support the decision-making process of businesses and governments in industries such as aerospace, defense and security; automotive; chemical; energy; maritime and trade; and technology.

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