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Using Central Tendency Measures to Describe Data

Using Central Tendency Measures to Describe Data

The term central tendency refers to some values that tend to describe the centre of the complete data set. There are different measures of central tendency. Each of them give us one single number that attempts to summarise the entire data set within itself. Why do we...

Measuring the Spread of Data

We have already seen how it is easier to describe data using a single measure of central tendency, such as, average. Now, take a look at the following data: The average score for both students is equal. However, John is consistent at everything, while Arun is...

Are All Variables the Same?

| If your experiment needs statistics, you ought to have done a better experiment. Ernest Rutherford The aim of analytics is to find answers to problems. How do we find answers to the problems? We do that using data. When we begin to statistically analyse some...

The Assumptions in Linear Correlations

Assumptions in linear correlations Given how simple Karl Pearson’s Coefficient of Correlation is, the assumptions behind it are often forgotten. It is important to ensure that the assumptions hold true for your data, else the Pearson’s Coefficient may be...