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Inferential And Descriptive Statistics. Descriptive statistics describe a group of interest. Learn from anywhere anytime. The use of descriptive statistics is when sampling is not required. Flexible 100 online learning.
Both descriptive and inferential statistics have their benefits and shortcomings. It allows us to compare data make hypothesis and predictions. Ad Build your Career in Healthcare Data Science Web Development Business Marketing More. Hence the types of statistics are categorised based on these features. Descriptive statistics are just descriptive. Descriptive Statistics Inferential Statistics.
Both descriptive and inferential statistics have their benefits and shortcomings.
Most of the researchers take the help of inferential statistics when the raw population data is in large quantities and cannot be compiled or collected. The two types of statistics have some important differences. Inferential Statistics is a type of statistics. You can accurately produce numbers for the population without worrying about being off or making any errors but you cant make any conclusions that go beyond the population that you have. Inferential statistics use samples to draw inferences about larger populations. Descriptive and Inferential Statistics When analysing data such as the grades earned by 100 students it is possible to use both descriptive and inferential statistics in your analysis.