Hypothesis
In data science, a hypothesis is a proposed explanation or prediction for a phenomenon that can be tested through experimentation or observation. It is a tentative assumption made in order to draw out and test its logical or empirical consequences. In the context of statistical inference, a hypothesis is a statement about a population parameter that is being tested using sample data. The hypothesis can either be null, which assumes that there is no significant difference between two groups, or alternative, which assumes that there is a significant difference between two groups. Hypothesis testing is a fundamental concept in data science and is used to make decisions based on data analysis.
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- Hypothesis Testing: Hypothesis testing is a statistical method used to determine whether a hypothesis about a population parameter is supported by the sample data. It involves formulating a null hypothesis and an alternative hypothesis, selecting a significanc ... Read More >>
- Qualitative Data Analysis: Qualitative Data Analysis is a method of analyzing non-numerical data, such as text, images, audio, and video, to identify patterns, themes, and insights. It involves a systematic and iterative process of organizing, coding, and interpretin ... Read More >>
- Confidence Intervals: In statistics, a confidence interval is a range of values that is likely to contain an unknown population parameter with a certain level of confidence. The level of confidence is typically expressed as a percentage and represents the probab ... Read More >>
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