Statistical Tools


Statistical tools refer to a set of techniques and methods used to analyze and interpret data in order to make informed decisions. These tools are used to identify patterns, relationships, and trends in data, and to draw conclusions based on statistical inference. Statistical tools include descriptive statistics, which are used to summarize and describe data, and inferential statistics, which are used to make predictions and test hypotheses. Other statistical tools include regression analysis, hypothesis testing, analysis of variance (ANOVA), and time series analysis. These tools are used in a variety of fields, including business, healthcare, social sciences, and engineering, to name a few. In data science, statistical tools are used to analyze and interpret large datasets, and to develop predictive models that can be used to make informed decisions.


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  • Checksum: Checksum is a technique used to verify the integrity of data transmitted over a network or stored in a file. It involves the calculation of a unique value based on the data being transmitted or stored, which is then compared to the value ca ... Read More >>
  • Probability Distribution: In Data Science, Probability Distribution refers to a function that describes the likelihood of obtaining the possible values that a random variable can take. It is a fundamental concept in statistics and machine learning, as it allows us t ... Read More >>
  • Interferometry: Interferometry is a technique that uses the interference of waves to extract information about the properties of a signal. In data science and artificial intelligence, interferometry is used to analyze and process signals from various sourc ... Read More >>
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