soil conditions
taiga biome, also known as the boreal forest biome. It is characterized by cold temperatures, coniferous trees, and a northern hemisphere distribution.
Biomes are determined by climate, including factors such as temperature, rainfall, and seasonality. These factors influence the types of vegetation that can grow in a particular area, which then determines the biome. Temperature and precipitation are key drivers of biome distribution.
Nonliving factors in a biome, also known as abiotic factors, include climate, soil composition, topography, sunlight availability, water availability, and natural disasters. These factors influence the distribution and abundance of living organisms within a biome.
For a biome hypothesis, you could propose a statement that predicts how specific factors such as climate, geography, or human influence may influence the distribution and characteristics of plant and animal species in a particular biome. This statement should be testable through research or observation to determine its accuracy.
Precipitation
The distribution for a variable is the set of value that the variable can take and the probabilities associated with those value.
It means that the probability distribution function of the variable is the Gaussian or normal distribution.
A quantile.
Distribution is the set of values that a variable can take, along with measures relating to the likelihood of the variable taking those values.
taiga biome, also known as the boreal forest biome. It is characterized by cold temperatures, coniferous trees, and a northern hemisphere distribution.
True
The independent variable is the variable that is changed or manipulated by the researcher and is hypothesized to cause an effect on the dependent variable. The dependent variable is the variable that is measured in response to the changes in the independent variable.
It can be influenced by it's distance from the equator and the angle at which the earth is can be a variable on how much sunlight it gets also. (Variable- something that can effect the outcome of an experiment)
You integrate the probability distribution function to get the cumulative distribution function (cdf). Then find the value of the random variable for which cdf = 0.5.
It will be the same as the distribution of the random variable itself.
Tropical and subtropical coniferous forests. This biome has a very limited distribution. It has low levels of precipitation and moderate temperature variability occurs.
I have included two links. A normal random variable is a random variable whose associated probability distribution is the normal probability distribution. By definition, a random variable has to have an associated distribution. The normal distribution (probability density function) is defined by a mathematical formula with a mean and standard deviation as parameters. The normal distribution is ofter called a bell-shaped curve, because of its symmetrical shape. It is not the only symmetrical distribution. The two links should provide more information beyond this simple definition.