The theoretical probability distribution is defined as a function which assigns a probability to each possible outcomes of the statistical experiment. The probability distribution can be discrete or continuous, where, in the discrete random variable, the total probability is allocated to different mass points while in the continuous random variable the probability is distributed at various class intervals. Binomial distribution and Poisson distribution are two discrete probability distribution. … [Read more...]

## Difference Between Descriptive and Inferential Statistics

In today's fast-paced world, statistics is playing a major role in the field of research; that helps in the collection, analysis and presentation of data in a measurable form. It is quite hard to identify, whether the research relies on descriptive statistics or inferential statistics, as people usually, lacks knowledge about these two branches of statistics. As the name suggests, descriptive statistics is one which describes the population. On the other end, Inferential statistics is used to … [Read more...]

## Difference Between Rhombus and Parallelogram

In geometry, there are many types of a quadrilateral i.e. parallelogram, rhombus, square, rectangle, trapezium, and kite, which share common characteristics, due to which people face trouble in understanding these figures. Rhombus and Parallelogram are two such shapes that are frequently juxtaposed by the people, but there is a difference in their properties. While rhombus can be referred as a slanting square, whose adjacent sides are equal, the parallelogram is a slanting rectangle with two set … [Read more...]

## Difference Between Ratio and Proportion

Ratio and proportion are two mathematical concepts which have end number of practical applications in different spheres of life. The ratio is used to compare the quantities of two different categories like the ratio of men to women in the city. Here men and women are the two different categories. On the contrary, Proportion is used to find out the quantity of one category over the total, like the proportion of men out of total people living in the city. This article presents you the basic … [Read more...]

## Difference Between Correlation and Regression

Correlation and Regression are the two analysis based on multivariate distribution. A multivariate distribution is described as a distribution of multiple variables. Correlation is described as the analysis which lets us know the association or the absence of the relationship between two variables 'x' and 'y'. On the other end, Regression analysis, predicts the value of the dependent variable based on the known value of the independent variable, assuming that average mathematical relationship … [Read more...]

## Difference Between Parametric and Nonparametric Test

To make the generalisation about the population from the sample, statistical tests are uses. These hypothetical testing related to differences are classified as parametric and nonparametric tests. On one hand, the parametric test is one which has information about population parameter while on the other hand, nonparametric tests, is one where the researcher has no idea regarding the population parameter. So, take a full read of this article, to know the significant differences between parametric … [Read more...]

## Difference Between Histogram and Bar Graph

After the collection and verification of data, it needs to be compiled and displayed in such a way that it highlights the essential features clearly to the users. The statistical analysis can only be performed if it is properly presented. There are three modes of presentation of data i.e. textual presentation, tabular presentation, and diagrammatic presentation. The diagrammatic representation of data is one of the best and attractive way of presenting data as it caters both educated and … [Read more...]

## Difference Between Area and Perimeter

Area and perimeter are two vital fundamental concepts of mathematics, which are often understood together. These two concepts are used to measure the physical space of an object and forms a foundation for advanced mathematics. The perimeter is often understood as the length of the path that covers a closed figure while the area refers to the space covered by the closed figure. Both the concepts have practical application and is used in our day to day life. Take a read of the article to know the … [Read more...]

## Difference Between Mean and Median

Central tendency implies the tendency of the data points to cluster around its central or middle-most value. An ideal measure of central tendency is one which is clearly defined, easily understood, simply calculable. It should be based on all observations and least affected by extreme observations present in the set of data. The two most commonly used measures of central tendency are mean and median. People often contrast these two measures, but the fact is that they are different in a sense … [Read more...]

## Difference Between Variance and Standard Deviation

Dispersion indicates the extent to which observations deviates from an appropriate measure of central tendency. Measures of dispersion fall into two categories i.e. absolute measure of dispersion and relative measure of dispersion. Variance and standard deviation are two such absolute measure of variability; that describes how the observations are spread out around the mean. While variance is the average of the squares of the deviations, the standard deviation is the square root of the … [Read more...]