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Descriptive And Inferential Statistics In Psychology. 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. Statistics gives a different perspective to understanding the data and interpreting the information into charts and graphs. Descriptive and inferential statistics are used by psychologists to evaluate the results of experiments and surveys. Descriptive statistics use summary statistics graphs and tables to describe a data set.
Ad Build your Career in Healthcare Data Science Web Development Business Marketing More. Descriptive statistics is the statistical description of the data set. Perhaps these concepts are most easily explained with some examples. Meanwhile inferential statistics is concerned to make a conclusion create a prediction or testing a hypothesis about a population from sample. 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 use of descriptive statistics researchers has complete raw population data.
To understand the simple difference between descriptive and inferential statistics all you need to remember is that descriptive statistics summarize your current dataset and inferential statistics aim to draw conclusions about an additional population outside of your dataset.
Flexible 100 online learning. Flexible 100 online learning. Descriptive statistics is the description analysis and the summarizing of the analyzed data in such a way that a meaningful pattern of data and results is achieved. Inferential statistics use samples to draw inferences. Explore descriptive and inferential statistics and discover how they are. Descriptive statistics are just descriptive.