Archives for statistics for data science
Council Post: Statistical Tools That Every Data Scientist Should Know For Better CPG Analytics
The T-test is a hypothesis testing method that helps in testing the significance of two or more groups and determining the important differences between the groups being compared. It is a variation of inferential statistics and is mostly used with datasets that possess a normal distribution but with unidentified variances.
The post Understand the Significance of T-Test and P-Value Using Python appeared first on Analytics India Magazine.
We are learning statistics because we can; observe the information properly, draw the conclusion from the large volume of the dataset, make reliable forecasts about business activity and improve the business process. To do all kinds of these analyses, statistics are used. Further, it is classified into two types: Descriptive and Inferential statistics.
The post Complete Guide To Descriptive Statistics in Python for Beginners appeared first on Analytics India Magazine.
We are learning statistics because we can; observe the information properly, draw the conclusion from the large volume of the dataset, make reliable forecasts about business activity and improve the business process. To do all kinds of these analyses, statistics are used. Further, it is classified into two types: Descriptive and Inferential statistics.
The post Complete Guide To Descriptive Statistics in Python for Beginners appeared first on Analytics India Magazine.
We are learning statistics because we can; observe the information properly, draw the conclusion from the large volume of the dataset, make reliable forecasts about business activity and improve the business process. To do all kinds of these analyses, statistics are used. Further, it is classified into two types: Descriptive and Inferential statistics.
The post Complete Guide To Descriptive Statistics in Python for Beginners appeared first on Analytics India Magazine.