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UNDERSTANDING DESCRIPTIVE STATISTICS

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A Descriptive Statistics assignment is an assignment that includes the method of describing the different characteristics of a population.

The methods of descriptive statistics are use to represent numerical data in a meaningful way that can be easily interpret and understand.

The main objective of descriptive statistics is to present data so that end users can easily interpret and describe those data clearly and concisely.

Descriptive statistics serve as an analytical tool that, when use statisticians, helps them draw inferences about the study conduct or collect data. Our math homework help gives the best help in understanding and solving statistical problems.

 

So what are Descriptive Statistics?

The term “descriptive statistics” is derived from the word “description” and the word “statistics.” The term describes the process of describing data in an organize and systematic way.

Descriptive statistics focus on presenting data in a well-organize manner that allows it to be understood by end-users and helps draw inferences from the data.

Descriptive statistics are use to describe different characteristics of a population or sample. The description relates to different possible measures of location, central tendencies, dispersion, and shape of the data distribution.

 

 There are 2 types of descriptive statistics:

        Quantitative statistics: This type of statistics involves using numerical methods to measure the characteristics of data sets.

This is the use of mathematical formulas and equations to build a picture of a data set. Our Quantitative statistics provide mean, median, mode, and standard deviation information.

End-users use the numerical values obtain from this type of statistics to compare data sets or draw comparisons but among different data sets in a statistical chart. 

       

Qualitative statistics: This type of statistics involves using numerical methods to measure the characteristics of data sets. Qualitative statistics use mathematical formulas and equations to build a picture of a data set.

The values obtain from qualitative statistics are ordinal and nominal. Our Qualitative statistics are mainly used to make decisions about the data set.

Modes of describing data.

Descriptive statistics involves using different methods to describe the characteristics of a data set.

Some of the methods used for describing data can be described as follows:

 

This type of descriptive statistics provides mean, median, mode, and standard deviation information.

The numerical values obtain from this method are use to compare data set.

And draw comparisons among different data sets in a statistical chart.     

 

The results of qualitative description are mainly use for making decisions about the data set.

 

Properties of descriptive statistics.

  1. The properties of descriptive statistics include:
  2. Descriptive statistics describe the data set in an our organize and systematic way. 
  3. Descriptive statistics provide a systematic way of measuring the data set and making assumptions about the population study.
  4. Descriptive statistics provide information about different possible measures of location, central tendencies, dispersion, and shape of data distribution when applied to a data set.
  5. Descriptive statistics provide mean, and median, mode, and standard deviation information.
  6. The results obtain from descriptive statistics are mainly use to make decisions about the data set in a decision-making process and are not use for statistical inference and model building.

 

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