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         Statistics is the subject which includes plenty of formulas, equations, and methods in statistics, therefore it is quite complicated for some students to keep in mind all of this stuff. In order to get good command over statistics every student must have learned its advanced skills. To learn advanced Statistics, every student needs an expert’s help. But the most challenging task for them is to pick the best statistics assignment helper. We are here to provide you to answer your questions like “do my statistics assignment”, “help with statistics assignment”, “statistics assignment helper”, “statistics experts”, “statistics assignment help USA”, etc.
Statistics Definition
            Statistics is one of the crucial and most robust branches of math's which is used to deal with data collection, organization, analysis, and presentation. In other words, statistics is all about performing different methods on the raw data to make it more understandable. Statistics models apply statistics to industrial, social as well as scientific problems. It includes analyzing, collecting, and interpreting data. It is used in a wide range of academic disciplines such as Finance, Insurance, and Economics.
Branches of Statistics
Descriptive Statistics
         Descriptive statistics is a short descriptive coefficient that summarizes the data set, which can be either a team of the entire or a sample of the population. Descriptive statistics is the measure of central tendencies and variable measures.
Types of Descriptive Statistics
Measures Central tendency
Measures of Central Tendency include Mean, Median, and Mode. It is used to find the center point value of the numerical dataset 
Measures of Variability
The variability measure is a summary statistics used to represent the dispersion amount in a dataset. It indicates how far the data points from the center.
Measures of Frequency & Position
This will give the counts , percentages, Quartiles and percentiles for the data . These measures are useful to understand  parts of the data .
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