What is Hypothesis Testing | Statistics for Data Science | Intellipaat #Shorts #HypothesisTesting
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Get ready to explore the world of Data Science with our Intellipaat Podcast episode focusing on Data Science Roadmap 2024.
In this video, our esteemed guest, Mr.Parth Sharma, the Senior Manager of Data Science @ Piramal Finance will tell us “What is Hypothesis Testing”.
Stay tuned!
✅What do you mean by hypothesis testing?
Hypothesis testing is a systematic procedure for deciding whether the results of a research study support a particular theory that applies to a population. Hypothesis testing uses sample data to evaluate a hypothesis about a population.
✅Why is a hypothesis test?
Hypothesis tests are used to assess whether a difference between two samples represents a real difference between the populations from which the samples were taken. A null hypothesis of 'no difference' is taken as a starting point, and we calculate the probability that both sets of data came from the same population.
✅What are the two types of hypothesis testing?
There are basically two types, namely, null hypothesis and alternative hypothesis. Research generally starts with a problem. Next, these hypotheses provide the researcher with some specific restatements and clarifications of the research problem.