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What Is Descriptive Statistics And Inferential Statistics. Inferential statistics use samples to draw inferences about larger populations. In order to understand the key differences between descriptive and inferential statistics as well as know when to use them you must first understand what each type of statistics does and what it is used to analyze. Flexible 100 online learning. Descriptive Statistics collects organises analyzes and presents data in a meaningful way.
Difference between descriptive and inferential statistics According to Houser 2009 descriptive statistics are the statistical steps that are followed to describe the totality of study. Heshe studies the sample and reaches the conclusions of the population. Typically in most research conducted on groups of people you will use both descriptive and inferential statistics to analyse your results and draw conclusions. Descriptive statistics summarize the characteristics of a data set. Inferential Statistics is a type of statistics. On the contrary in Inferential statistics researchers test the hypothesis.
Inferential statistics by contrast allow scientists to take findings from a sample group and generalize them to a larger population.
In this type of statistics the data is summarised through the given observations. Ad Unlimited access to Sectors Statistics on 180 countries. The two types of statistics have some important differences. And what are their differences. Heshe studies the sample and reaches the conclusions of the population. Typically in most research conducted on groups of people you will use both descriptive and inferential statistics to analyse your results and draw conclusions.