*In social science, results with a 95% confidence level are accepted as significant.*The confidence interval is affected by three factors.These are the sample size, percentage and population size.

*In social science, results with a 95% confidence level are accepted as significant.The confidence interval is affected by three factors.These are the sample size, percentage and population size.*

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).

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.

Statistical analysis can be complex, and this article aims to explain some of the basic considerations, to an audience without an assumed mathematical background.

At the end of this article there are a wide variety of links to further reading, which can help you through the process of statistical analysis.The independent variable answers the question “What do I change?”, the dependent variable answers the question “What do I observe?Statistical analysis is a mathematical method of interrogating data.This is done by looking for relationships between different sets of data.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.The relationship between the confidence interval and sample size is not linear.An example can be found below: The confidence interval is also determined by the percentage of the sample that provides the same answer.In some situations we can examine the entire population, then there is no inference from a sample.In statistics, a result is called statistically significant if it is unlikely to have occurred by chance.

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