Definition: The Elasticity of Demand is a measure of change in the quantity demanded in response to the change in the price of the commodity. Simply, the effect of a change of price on the quantity demanded is called as the elasticity of demand. Marshall, a renowned economist, has suggested a mathematical method to measure the elasticity of demand: According to this … [Read more...] about Elasticity of Demand

## Law of Demand

Definition: The Law of Demand asserts that there is an inverse relationship between the price, and the quantity demanded, such as when the price increases the demand for the commodity decreases and when the price decreases the demand for the commodity increases, other things remaining unchanged. In the definition, the “other things” are the factors that influence the demand … [Read more...] about Law of Demand

## Types of Demand

Definition: The Demand for a product refers to the quantity of goods and services that the consumers are willing to buy at a particular price for a given point of time. Types of Demand The demand can be classified on the following basis: Individual Demand and Market Demand: The individual demand refers to the demand for goods and services by the single consumer, … [Read more...] about Types of Demand

## Demand Analysis

Definition: The Demand Analysis is a process whereby the management makes decisions with respect to the production, cost allocation, advertising, inventory holding, pricing, etc. Although, how much a firm produces depends on its production capacity but how much it must endeavor to produce depends on the potential demand for its product. Thus, the marketer is required to … [Read more...] about Demand Analysis

## Chi-Square Test

Definition: The Chi-Square Test is the widely used non-parametric statistical test that describes the magnitude of discrepancy between the observed data and the data expected to be obtained with a specific hypothesis. The observed and expected frequencies are said to be completely coinciding when the χ2 = 0 and as the value of χ2 increases the discrepancy between the … [Read more...] about Chi-Square Test

## Chi-Square Distribution

Definition: The Chi-Square Distribution, denoted as χ2 is related to the standard normal distribution such as, if the independent normal variable, let’s say Z assumes the standard normal distribution, then the square of this normal variable Z2 has the chi-square distribution with ‘K’ degrees of freedom. Here, K is the sum of the independent squared normal variables. The … [Read more...] about Chi-Square Distribution

## Properties of F-Distribution

Definition: The F-distribution depends on the degrees of freedom and is usually defined as the ratio of variances of two populations normally distributed and therefore it is also called as Variance Ratio Distribution. Properties of F-Distribution There are several properties of F-distribution which are explained below: The F-distribution is positively skewed and with the … [Read more...] about Properties of F-Distribution

## F-Distribution

Definition: The F-Distribution is also called as Variance Ratio Distribution as it usually defines the ratio of the variances of the two normally distributed populations. The F-distribution got its name after the name of R.A. Fisher, who studied this test for the first time in 1924. Symbolically, the quantity is distributed as F-distribution with ν1 =n1-1 and ν2 = n2-1 … [Read more...] about F-Distribution

## Applications of t-Distribution

Definition: The t-distribution is a probability distribution method wherein the hypothesis of the mean of a small sample is tested, which is drawn from the systematic population whose standard deviation is unknown. It is a statistical measure used to compare the observed data with the data expected to be obtained from a specific hypothesis. Applications of t-distribution The … [Read more...] about Applications of t-Distribution

## t-Distribution

Definition: The t-Distribution, also known as Student’s t-Distribution is the probability distribution that estimates the population parameters when the sample size is small and the population standard deviation is unknown. It resembles the normal distribution and as the sample size increases the t-distribution looks more normally distributed with the values of means and … [Read more...] about t-Distribution