11
Apr
Inferential Statistics Vs Descriptive Statistics. Interestingly some of the statistical measures are similar but the goals and methodologies are very different. The term implies that information has to be inferred from the presented data. Descriptive statistics are straightforward measures whereas inferential statistics is holistic through which the decision-maker tests his assumption. Learn from anywhere anytime.
Learn from anywhere anytime. Ad Build your Career in Healthcare Data Science Web Development Business Marketing More. They do not involve generalizing beyond the data at hand. Join get 7-day free trial. Descriptive and inferential statistics are two broad categories in the field of statistics. This type of statistics is applied on already known data.
A sample of the data is considered studied and analyzed.
Unlike descriptive statistics this data analysis can extend to a similar larger group and can be visually represented by means of graphic elements. Inferential statistics involves studying a sample of data. These are Descriptive Statistics and Inferential Statistics. Hypothesis tests confidence intervals and. This is useful for helping us gain a quick and easy understanding of a data set without pouring over all of the individual data values. In this blog post I show you how both types of statistics are important for different purposes.