Population density tells you how crowded a certain area is, on average. To calculate, you need measurements of area, the population count and a calculator.Know More
Choose the unit of physical space that is to be used. Population density is a measurement of the number of people per unit area. That unit area can be small, such as a neighborhood, or large, such as a country or continent.
A common measurement used when speaking of population density is square mile. Either measure the physical area or locate the length and width from a reliable resource, such as a map.
Learn the population count present within the boundaries of the area. Depending on the size of the area, you might consult official census records to obtain the population count.
The population number is the numerator, and the area is the denominator. Divide the numerator by the denominator to obtain the population density. This figure frequently is expressed in terms of number of people per square mile, for example.
The Hardy-Weinberg equations calculate the genetic variation and allele frequencies of a population at equilibrium. They are p + q = 1 and p^2+ 2pq + q^2 = 1 where p is the frequency of the "A" allele and q is the allele frequency for the "a" allele.Full Answer >
Sampling, in statistics, is a method of answering questions that deal with large numbers of individuals by selecting a smaller subset of the population for study. One of the most prevalent types of sampling is random sampling.Full Answer >
Sampling distribution is defined as the probabilities ascribed to statistics when pulled at random from a population. Sampling distribution of statistics can take the form of either probability distribution or probability density function. Sampling distribution is used primarily in statistics, and may be paired with other mathematical operations to solve problems.Full Answer >
The theoretical definition of probability states that if the outcomes of an event are mutually exclusive and equally likely to happen, then the probability of the outcome "A" is: P(A) = Number of outcomes that favors A / Total number of outcomes. For example, there are two possible outcomes when a coin is tossed in the air, and the probability of the coin landing on a head or a tail is equal to 0.5.Full Answer >