Improve Article Show Save Article Improve Article Save Article Statistics is a branch of mathematics dealing with the collection, analysis, interpretation, and presentation of masses of numerical data. It is basically a collection of quantitative data. Types of Statistics:
1. Descriptive Statistics: Descriptive statistics is a term given to the analysis of data that helps to describe, show and summarize data in a meaningful way. It is a simple way to describe our data. Descriptive statistics is very important to present our raw data ineffective/meaningful way using numerical calculations or graphs or tables. This type of statistics is applied to already known data. Types of Descriptive Statistics:
2. Inferential Statistics: In inferential statistics, predictions are made by taking any group of data in which you are interested. It can be defined as a random sample of data taken from a population to describe and make inferences about the population. Any group of data that includes all the data you are interested in is known as population. It basically allows you to make predictions by taking a small sample instead of working on the whole population.
Difference between Descriptive and Inferential statistics:
What is an example of inferential statistics?Inferential statistics have two main uses: making estimates about populations (for example, the mean SAT score of all 11th graders in the US). testing hypotheses to draw conclusions about populations (for example, the relationship between SAT scores and family income).
What is the difference between descriptive and inferential statistics with examples?In a nutshell, descriptive statistics focus on describing the visible characteristics of a dataset (a population or sample). Meanwhile, inferential statistics focus on making predictions or generalizations about a larger dataset, based on a sample of those data.
What is an example of a descriptive statistic?For example, the sum of the following data set is 20: (2, 3, 4, 5, 6). The mean is 4 (20/5). The mode of a data set is the value appearing most often, and the median is the figure situated in the middle of the data set.
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