DataHour: Hypothesis Testing A-Z
DataHour: Hypothesis Testing A-Z
28 Oct 202215:10pm - 28 Oct 202216:10pm
DataHour: Hypothesis Testing A-Z
About the Event
Statistics is the science of analyzing huge amounts of data. In the real world, it is nearly impossible to deduce statistics about the entire population. And this huge amount of data needs interpretation to draw meaningful conclusions. Hence, we take some random samples from the population, derive some statistical measures (e.g. mean, standard deviation, variance), and draw conclusions about relationships from the data collected.
Data can be interpreted by assuming a specific outcome and using statistical methods to confirm or reject the assumption. This assumption is called a hypothesis and the statistical test used for this purpose is called hypothesis testing.Hypothesis testing quantifies an observation or outcome of an experiment under a given assumption. The result of the test enables us to interpret whether the assumption holds true or false. In other words, it signifies if the hypothesis can be confirmed or rejected for the observation made.
In this DataHour, Rohit will discuss the importance of Hypothesis Testing, various types of hypothesis testing and its applications in the field of data science.
Prerequisites: Curiosity of learning Data Science.
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- Best articles get published on Analytics Vidhya’s Blog Space
- Best articles get published on Analytics Vidhya’s Blog Space
- Best articles get published on Analytics Vidhya’s Blog Space
Who is this DataHour for?
- Best articles get published on Analytics Vidhya’s Blog Space
- Best articles get published on Analytics Vidhya’s Blog Space
- Best articles get published on Analytics Vidhya’s Blog Space
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