STATISTICAL TECHNIQUES AND TOOLS
INTRODUCTION OF STATISTICS
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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Descriptive statistics are more computationally sophisticated than inferential statistics.
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Inferential statistics are more computationally sophisticated than descriptive statistics
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Descriptive statistics only attempt to describe data, while inferential statistics attempt to make predictions based on data.
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Inferential statistics only attempt to describe data, while descriptive statistics attempt to make predictions based on data.
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Detailed explanation-1: -While descriptive statistics summarize the characteristics of a data set, inferential statistics help you come to conclusions and make predictions based on your data. When you have collected data from a sample, you can use inferential statistics to understand the larger population from which the sample is taken.
Detailed explanation-2: -But what’s the difference between them? In a nutshell, descriptive statistics focus on describing the visible characteristics of a dataset (a population or sample). Meanwhile, inferential statistics focus on making predictions or generalizations about a larger dataset, based on a sample of those data.
Detailed explanation-3: -What are the similarities between descriptive and inferential statistics? Both descriptive and inferential statistics rely on the same set of data. Descriptive statistics rely solely on this set of data, whilst inferential statistics also rely on this data in order to make generalisations about a larger population.