Question

Define Thomson's Pmf​

Answer 1

Answer:

In probability theory, a probability density function, or density of a continuous random variable, is a function whose value at any given sample in the sample space can be interpreted as providing a relative likelihood that the value of the random variable would equal that sample.

Formula: The function fX(x) gives us the probability density at point x. It is the limit of the probability of the interval (x,x+Δ] divided by the length of the interval as the length of the interval goes to 0. Remember that P(x<X≤x+Δ)=FX(x+Δ)−FX(x).

Static: Probability density function (PDF), in statistics, a function whose integral is calculated to find probabilities associated with a continuous random variable (see continuity; probability theory). Its graph is a curve above the horizontal axis that defines a total area, between itself and the axis, of 1.

Wave: The modulus squared of this quantity represents a probability density. Probability amplitudes provide a relationship between the wave function (or, more generally, of a quantum state vector) of a system and the results of observations of that system, a link first proposed by Max Born.

Properties: The probability density function is non-negative for all the possible values, i.e. f(x)≥ 0, for all x. ... Due to the property of continuous random variable, the density function curve is continuous for all over the given range which defines itself over a range of continuous values or the domain of the variable.

Explanation:

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Answer 2

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Thomson's Model of an Atom, Rutherford's Model of an Atom, Bohr's Model of Atom.

A molecule can be defined as the smallest particle of an element or a compound that is capable of an independent.