Inferential and Descriptive Statistics

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Inferential and descriptive statistics are two methods of analyzing data, descriptive statistics involves simplifying collected data in order to make the data easier to understand, descriptive statistics involves determining measures of central tendencies frequency of variable and dispersion.


In order to undertake inferential statistics changes should be made in the analysis of the data, frequencies should be recorded for the gender, for the right handed or left handed variable and for the preferred T shirt variable which should be treated as a dummy variable, for the income, age and grade variable, the mean, standard deviation and variance should be determined.
A hypothesis should be formulated following the analysis of the central tendency of the data, for example a hypothesis may aim at finding out whether more participants prefer the red T shirt, another hypothesis may be aimed at finding out whether more male prefer the red T shirt or whether more female prefer red shirt.
Finally in order to undertake inferential statistics the sampling method should be random, this involves selecting an appropriate method which will ensure that data is reliable. Example a random sample or cluster sample should be selected. The random sample ensures that the population is properly represented and that if another study is undertaken a study will yield the same results.
There are a number of advantages associated with inferential statistics, one of the advantages is that inferential statistics will provide more information than descriptive statistics, for example descriptive statistics regarding the gender variable will indicate percentages of male and female p ...
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