Q:

What does "J-curve" mean in a population?

A:

Quick Answer

The term "J-curve" is a type of population growth wherein a population grows exponentially without restrictions. It is also known as the exponential curve.

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A population is a class of similar and interbreeding organisms that inhabit a particular region. The life cycle of a population comprises three different stages namely growth, stability and decline. If the population lives in a favorable environment with ample nutritional sources and scarce competition, the population will tend to rapidly increase without constraints. It only stabilizes when the resources begin to dwindle or the population encounters other environmental factors that limit its growth. The population gradually declines and eventually dies out.

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Related Questions

  • Q:

    What is judgment sampling?

    A:

    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.

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  • Q:

    How do you calculate statistical sample variance?

    A:

    To calculate the sample variance of a population, first determine the mean of the sample, subtract each data point from the mean, square each resulting number, add all the squared results together, and then divide that number by the total number of points in the data set minus one. A one is subtracted from the total number of data set points in the dividend to compensate for not considering the whole population.

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  • Q:

    Why is sampling important?

    A:

    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.

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  • Q:

    What is the difference between a parameter and a statistic?

    A:

    A statistic describes a sample, while a parameter describes an entire population. A sample is a smaller subset that is representative of a larger population.

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