I am currently taking statistics 240. We have covered topics such as descriptive statistics, simple linear regression and we have just started probability. We have also discussed the difference between qualitative and quantitative statistics, and whether or not they are discrete or continuous. Statistics may be represented in many ways, such as graphs and tables. There may be bar graphs, line graphs, and pie charts. Histograms and boxplots also provide details on the distribution of the data. Range, median, mode, mean and standard deviation are useful measures of the data and provide a variety of details about it, such as its general distribution. Chi-Square tests may be used, along with p-value, in order to determine whether there is a relationship between two sets of data. Simple linear regression may be used to determine whether or not two sets of date are correlated. By looking at the regression line and "r" it may be determined if there is a positive, negative, strong or weak correlation. Of course it is important to remember that correlation does not equal causation and there be a number of lurking variables which may effect the data, and make the correlation exist.
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