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R for Microsoft® Excel Users: Making the Transition for Statistical Analysis by Conrad Carlberg

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2. Descriptive Statistics

Regardless of the sort of analysis you have in mind for a particular data set, you want to understand the distribution of the variables in that set. The reasons vary from the mundane (someone entered an impossible value for a variable) to the technical (different sample sizes accompanying different variances).

Any of those events could happen, whether the source of the data is a sales ledger, a beautifully designed medical experiment or a study of political preferences. No matter what the cause, if your data set contains ...

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