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Descriptive Statistics Versus Inferential Statistics. Descriptive Statistics Inferential Statistics. Join get 7-day free trial. So there is a big difference between descriptive and inferential statistics. Inferential statistics by contrast allow scientists to take findings from a sample group and generalize them to a larger population.
It makes inference about population using data drawn from the population. It extrapolates data to a whole population using a smaller representative sample allowing you to make predictions and draw conclusions. It allows us to compare data make hypothesis and predictions. Learn from anywhere anytime. Descriptive statistics summarize the characteristics of a data set. Inferential Statistics use data to make statements about unknown population parameters.
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In short descriptive statistics are limited to your dataset while inferential statistics attempt to draw conclusions about a population. Descriptive statistics are just descriptive. On the other end Inferential statistics is used to make the generalisation about the population based on the samples. It helps in organizing analyzing and to present data in a meaningful manner. It extrapolates data to a whole population using a smaller representative sample allowing you to make predictions and draw conclusions. Inferential statistics involves studying a sample of data.