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Related Concept Videos

Distribution and Dispersion00:54

Distribution and Dispersion

To understand intra-specific interactions in populations, scientists measure the spatial arrangement of species individuals. This geographic arrangement is known as the species distribution or dispersion. Highly territorial species exhibit a uniform distribution pattern, in which individuals are spaced at relatively equal distances from one another. Species that are highly tied to particular resources, such as food or shelter, tend to concentrate around those resources, and thus exhibit a...
Degrees of Freedom01:02

Degrees of Freedom

The degree of freedom for a particular statistical calculation is the number of values that are free to vary. Thus, the minimum number of independent numbers can specify a particular statistic. The degrees of freedom differ greatly depending on known and uncalculated statistical components.
For example, suppose there are three unknown numbers whose mean is 10; although we can freely assign values to the first and second numbers, the value of the last number can not be arbitrarily assigned.
Degrees of Freedom01:02

Degrees of Freedom

The degree of freedom for a particular statistical calculation is the number of values that are free to vary. As a result, the minimum number of independent numbers can specify a particular statistic. The degrees of freedom differ greatly depending on known and uncalculated statistical components.
For example, suppose there are three unknown numbers whose mean is 10; although we can freely assign values to the first and second numbers, the value of the last number can not be arbitrarily...
Probability Distributions01:32

Probability Distributions

The probability of a random variable x  is the likelihood of its occurrence. A probability distribution represents the probabilities of a random variable using a formula, graph, or table. There are two types of probability distribution– discrete probability distribution and continuous probability distribution.
A discrete probability distribution is a probability distribution of discrete random variables. It can be categorized into binomial probability distribution and Poisson probability...
Types of Skewness01:09

Types of Skewness

If the frequency distribution of a data set is more inclined towards smaller or larger values, the distribution is said to be skewed. If data values are skewed to the right, then the distribution is called positively skewed. Conversely, if the plot is skewed to the left, the distribution is called negatively skewed.
For instance, in the middle of a pandemic, the geographical distribution of vaccine coverage may be positively skewed towards populations in the global north countries. However,...
What is a Frequency Distribution00:51

What is a Frequency Distribution

A frequency is the number of times a value of the data occurs. The sum of all the frequency values represents the total number of students included in the sample. It is commonly used to group data of quantitative types. Frequency distributions can be displayed in a table, histogram, line graph, dot plot, or pie chart, just to name a few. A histogram is a graphical representation of tabulated frequencies, shown as adjacent rectangles, erected over discrete intervals (bins), with an area equal to...

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Related Experiment Videos

How is freedom distributed across the earth?

Jüri Allik1, Anu Realo

  • 1Department of Psychology, University of Tartu, Tartu 5410, Estonia. juri.allik@ut.ee http://psych.ut.ee/~jyri/ anu.realo@ut.ee http://www.psychology.ut.ee/en www.ut.ee.

The Behavioral and Brain Sciences
|August 30, 2013
PubMed
Summary

Climate

Area of Science:

  • Social sciences
  • Environmental studies

Background:

  • Historical climate variations have been proposed as a primary driver of societal development.
  • Previous theories suggest uniform societal responses to climatic changes throughout history.

Purpose of the Study:

  • To critically evaluate the assumption that climate impacts human societies uniformly across historical periods.
  • To challenge theories over-relying on climatic factors for explaining societal dynamics.

Main Methods:

  • Qualitative analysis of historical narratives.
  • Comparative assessment of climate-centric versus multi-causal explanations for societal change.

Main Results:

  • The study identifies an implicit, unrealistic assumption of identical climate effects on societies throughout history.

Related Experiment Videos

  • Attributing all societal changes solely to cold winters or hot summers is an oversimplification, rendering the explanation ineffective.
  • The exclusion of alternative explanations weakens the proposed climate-centric theory.
  • Conclusions:

    • Societal responses to climate are not uniform across historical contexts.
    • A nuanced, multi-causal approach is necessary for understanding historical societal dynamics, rather than a singular focus on climate.
    • Overly simplistic climate-determinism theories lack convincing power due to the neglect of other significant factors.