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 MoreChoose 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.
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 >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 >Judgment sampling is a method in statistics and quantitative research for non-randomly selecting subjects for study from a population by selecting according to the opinion of an expert. It is a biased method that is useful when some members of a population make better subjects than others. The nature of judgment sampling makes data derived by this method harder to generalize and prone to an increased chance of misrepresentation.
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.
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