Branches of Statistics

Everything You Need to Know About Branches of Statistics

In this blog, you will learn about the branches of statistics. And we think that every statistics student should know about it. Let’s have a look at what statistics is first, before we start.

What is Statistics?

The most important branch of mathematics is statistics. It is used to accomplish a variety of tasks, such as data collecting, organisation, and analysis. Or we can say that statistics is a type of mathematical analysis that uses quantitative models to generate a set of experimental data or real-world studies. Statistics explores the methods for gathering, examining, interpreting, and drawing conclusions from data. The following are some statistical measures:

  • Mean
  • Variance
  • Skewness
  • Regression analysis
  • Kurtosis
  • Analysis of variance
  • Descriptive Statistics

KEY TAKEAWAYS

  • Statistics is the study and the manipulation of the data, including methods for data collecting, organisation, analysis and conclusion.
  • Descriptive and inferential statistics are the two main areas of statistics.
  • Business and investment decisions can improve from the use of statistics.

Branches of Statistics

Descriptive statistics and inferential statistics are the two main branches of statistics. Both of these are used in scientific data analysis and are equally significant for a statistics student.

Descriptive Statistics

The first aspect of statistics is descriptive statistics, which deals with the presentation and collecting of data. It is not so simple as it appears, and the statistician must be aware of how to design and experiment, select the appropriate focus group, and prevent biases that are all too easy to introduce into the experiment.

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Generally, descriptive statistics can be categorized into

  • Measures of central tendency
  • Measures of variability

To understand both measures of tendency and measures of variability easily use graphs, tables, and general discussions.

Measures of Central Tendency

Measures of central tendency are used by statisticians to examine the value distribution centre. These are the measures of tendency:

Mean

The mean is a common approach for describing the central tendency. To calculate the average of several values, first count them all and then divide them by the number of possible values.

Median

It is an outcome that is found in the middle of a set of values. In numerical journals, edit the results and the result that is in the centre of the distributed sample finds that one is an easy technique to get the median.

Mode

In the given data set the value which occurs most frequently is the mode.

Measures of Variability

The measure of variability helps the statisticians in analysing the distribution that comes from a particular data set. Quartiles, ranges, variances, and standard deviation are the variability variables.

Inferential Statistics

Inference statistics are statistical techniques that allow statisticians to utilise data from a sample to conclude, predict the behaviour of a given population, and make judgments or decisions.

Using descriptive statistics, inference statistics frequently talk in terms of probability. Furthermore, a statistician uses these techniques mainly for data analysis, writing, and drawing conclusions from the limited data. This is accomplished by taking samples and determining their reliability.

Most future predictions and generalisations based on a population study of a smaller specimen are covered by inference statistics. Furthermore, the majority of social science experiments involve the investigation of a small sample population and that helps in determining community behaviour.

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The researchers can bring the study related conclusions by designing a practical experiment. When drawing conclusions, it is important to avoid drawing incorrect or biassed conclusions.

And there are some of the different types of inferential statistics which includes the following which are shown below:

  • Regression analysis
  • Analysis of variance (ANOVA)
  • Analysis of covariance (ANCOVA)
  • Statistical significance (t-test)
  • Correlation analysis

Conclusion

It is all about the branches of statistics. Now, you should now have a better idea about the branches of statistics. We hope this blog was helpful to you and you understood it completely. But if in any case you are facing any kind of trouble and want our help with statistics homework, then you are in the right place. Our experts provide you the best service. You can contact us any time. We are 24*7 available here to help you.

FAQs

What are the two main branches of statistics?

The two branches of statistics which are the main one’s are the descriptive statistics and inferential statistics.

Who uses statistics?

Statistics are commonly used in a variety of applications and professions. Statistics are managed to create whenever data is collected and examined. This can include everything from government organisations to academic research to analyzing investments.

What is the difference between descriptive and inferential statistics?

The features or qualities of a data set are summarised by using descriptive statistics. You can use inferential statistics to test a hypothesis or see if your data is generalizable to a larger population.

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