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On the other end, Inferential statistics is used to make the generalisation about the population based on the samples. So, there is a big difference between descriptive and inferential statistics, i.e. what you do with your data. Let’s take a glance at this article to get some more details on the two topics.
Comparison Chart
Definition of Descriptive StatisticsDescriptive Statistics refers to a discipline that quantitatively describes the important characteristics of the dataset. For the purpose of describing properties, it uses measures of central tendency, i.e. mean, median, mode and the measures of dispersion i.e. range, standard deviation, quartile deviation and variance, etc. The data is summarised by the researcher, in a useful way, with the help of numerical and graphical tools such as charts, tables, and graphs, to represent data in an accurate way. Moreover, the text is presented in support of the diagrams, to explain what they represent. Definition of Inferential StatisticsInferential Statistics is all about generalising from the sample to the population, i.e. the results of the analysis of the sample can be deduced to the larger population, from which the sample is taken. It is a convenient way to draw conclusions about the population when it is not possible to query each and every member of the universe. The sample chosen is a representative of the entire population; therefore, it should contain important features of the population. Inferential Statistics is used to determine the probability of properties of the population on the basis of the properties of the sample, by employing probability theory. The major inferential statistics are based on the statistical models such as Analysis of Variance, chi-square test, student’s t distribution, regression analysis, etc. Methods of inferential statistics:
Key Differences Between Descriptive and Inferential StatisticsThe difference between descriptive and inferential statistics can be drawn clearly on the following grounds:
Video: Descriptive Vs Inferential StatisticsConclusionSo, we have enough discussion on the two subjects, all you need to know is that descriptive statistics is all about illustrating your current dataset whereas inferential statistics focuses on making assumptions on the additional population, that is beyond the dataset under study. While descriptive statistics provide the summation of the data the researcher has actually studied whereas inferential statistics, makes the generalisation, which means the data provided to you is not actually studied. What branch of statistics that involves the collection organization summarization and presentation of data?Descriptive statistics is the branch of statistics that involves the organization, summarization and display of data. Inferential statistics is the branch of statistics that involves using a sample to draw conclusions about a population.
What is the branch of statistics that involves the collection?Descriptive statistics deals with the presentation and collection of data. This is usually the first part of a statistical analysis.
Which of the following is being described as the branch of statistics that involve interpreting and drawing conclusions from the data?Inferential statistics are tools that statisticians use to draw conclusions about the characteristics of a population, drawn from the characteristics of a sample, and to decide how certain they can be of the reliability of those conclusions.
What branch of statistics is being described when someone collects data from a sample and reach a conclusion about the characteristics of the population?Inferential Statistics
It is about using data from sample and then making inferences about the larger population from which the sample is drawn. The goal of the inferential statistics is to draw conclusions from a sample and generalize them to the population.
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