# Thesis Statistical Treatment Of Data Population size is of greatest importance when the population is relatively small and is known.A survey of 1,000 households has been completed, in a town of 20,000 households.Quantitative variables are measured on an ordinal, interval, or ratio scale, whereas qualitative variables are measured on a nominal scale (note in SPSS the Interval and Ratio levels are grouped together and called scale).

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This confidence interval would fall to 0.6 if the survey returned a value of 99% or 1%.

It is important that the survey sample size is considered for statistics where 50% of the population answer both ‘yes’ and ‘no’ as this is when the confidence level is broadest and so provides the general level of ac­curacy for a sample.

So you can say that between 51% and 57% of the town’ss population feel the crime has the larg­est impact on quality of life.

A survey is distributed to all 20,000 households in a town, there are 1,000 responses to the survey, equal to a 5% response.

” and the controlled variable answers the question “What do I keep the same? A variable which can have any numerical value is called a continuous variable (e.g. A variable which can only have whole numbers (integers) is called a discrete vari­able (e.g. It is important to under­stand the variable you have for analysis of data in statistical packages such as SPSS.

If working with inferential statistics you need a sound understanding of your population (the set of individuals, items, or data, also called universe) and your sample (a subset of elements taken from a popula­tion).These are the sam­ple size, percentage and population size.The larger your sample, the more confident you can be that their answers truly reflect the population.See the section on quantitative surveys for further discussion on populations and samples.We make inferences (conclusions) about a population from a sample taken from it, therefore it is important that population and sampling is well understood, as any error will influence your inferences (conclusions).The use of statistical tests (as detailed above) will provide you with valuable findings if you know how to interpret the results and use them to inform your research.A variable is any measured characteristic or attribute that differs for different subjects.54% of households felt that crime had the largest impact on their quality of life.Using a 95% confidence level a confidence interval of 3.01 can be assumed.There are two types of statistics: The general idea of statistical analysis is to summarise and analyse data so that it is useful and can inform decision-making.You would analyse descriptive statistics if you wanted to summarise some data into a shorter form, where as, you would use inferential statistical analysis when you were trying to understand a relationship and either general­ise or predict based on this understanding.

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