Essential Math And Statistics For Data Science Tutorial | Edureka
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Essential Math And Statistics For Data Science Tutorial | Edureka
In this blog post, you will understand the importance of Math and Statistics for Data Science and how they can be used in Data Science.
May 16, 2017
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You must c C reate an account to continue watching
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SOLVED: When doing statistical inference, we check three broad classesof assumptions: (1) randomization, (2) independence, and (3)normality of the sampling distribution. What is the consequence ofviolating these assumptions?a. (1) biased sample statistics, (2) invalid inference, (3)invalid inferenceb. (1) invalid inference, (2) biased sample statistics, (3) invalidinferencec. (1) invalid inference, (2) invalid inference, (3) biased samplestatisticsd. (1) biased sample statistics, (2) biased samp
SOLVED: When doing statistical inference, we check three broad classesof assumptions: (1) randomization, (2) independence, and (3)normality of the sampling distribution. What is the consequence ofviolating these assumptions?a. (1) biased sample statistics, (2) invalid inference, (3)invalid inferenceb. (1) invalid inference, (2) biased sample statistics, (3) invalidinferencec. (1) invalid inference, (2) invalid inference, (3) biased samplestatisticsd. (1) biased sample statistics, (2) biased samp
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