Mathematica can be divided into two parts ; viz. Mechanics, and Statistics.
Mechanics deals with the movement of a single object in a population.
Statistics deals with the movement of the population as a whole.
e.g.
A single car may move at 30 mph.
The total car population may have an average/mean speed of 20 mph.
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Statistics
If Data Science is like a language, statistics is the grammar. In a nutshell, data science is statistics. Statistics is the process of studying and interpreting huge data sets. Statistics are as important and worthwhile to us as air whenever it comes to data processing and so also gathering insights. You're an analyst, not a data scientist, if you're implementing an ML model or regression, or creating trials. We can use statistics to decipher the hidden details in massive datasets. Everything is based on statistics, so let's look at how to better comprehend statistics in data science.
Learn more about Statistics and its role in data science at Learnbay.co institute.
“Statistics is concerned with scientific method for
collecting, organizing, summarizing, analyzing and
presenting data as well as deriving valid
conclusions and making reasonable decisions on the basis of this analysis.”
conclusions and making reasonable decisions on the basis of this analysis.”
Statistics is the science of the collection, organization, analysis, observation and interpretation of data.
The two main branches of statistics is Descriptive statistics and inferential statistics.
father of statistics
statistics
No, 'statistics' is a noun.
descriptive statistics