The practise of making inferences about a population based on particular statistics generated from a sample of data gathered from that population is known as statistical inference.
The technique of deriving conclusions about populations or scientific truths from data is known as statistical inference. Statistical modelling, data-oriented methodologies, and explicit use of designs and randomization in studies are all examples of inference methods.
Inferential statistics allows you to create predictions ("inferences") from data (for example, a chart or graph). Descriptive statistics describes data (for example, a chart or graph). Inferential statistics are used to generate generalisations about a population using data from samples.
Statistical inference is the process of inferring attributes of an underlying probability distribution via data analysis. By testing hypotheses and producing estimates, inferential statistical analysis infers properties of a population.
Point Estimation.
Interval Estimation.
Hypothesis Testing.
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Anjali
5
Excellent explanation
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ashif mahiboob yadwad
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Very good
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SHAIKH TOHEED
5
good but practical knowledge not perfect
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PUSHPAK DILLIP MALI
4
The content and teaching style is excellent.
But there is slight issue is that video quality is kind of poor the dashboard is blur on 720mp on PC.
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Sayali Jadhav
4
Very useful all data
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Syed Mohammad Qaiser Rizvi
5
Way of teaching is very good. I want to get PPT which he is using to teach us ?
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Anuja Bagadi
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It is a very interactive and useful course..
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All courses is very useful for which are looking free courses and gaining knowledge
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