what are dispersion patterns?
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A description of a class of objects in space.  For example, the locations and numbers of jaguars in a rainforest.
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Measures of central tendency are measures of the location of the middle or the center of a distribution. The definition of "middle" or "center" is purposely left somewhat vague so that the term "central tendency" can refer to a wide variety of measures. The mean is the most commonly used measure of central tendency.\n\nWithout knowing something about how data is dispersed, measures of central tendency may be misleading. For example, a residential street with 20 homes on it having a mean value of $200,000 with little variation from the mean would be very different from a street with the same mean home value but with 3 homes having a value of $1 million and the other 17 clustered around $60,000. Measures of dispersion provide a more complete picture. Dispersion measures include the range, average deviation, variance, and standard deviation.
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that pattern has been discontinued. try ebay
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Recognize the patterns that occur in the table; it is not called "periodic" without reason. It is also helpful to associate each category with a familiar elemet, for example, silicon with metalloids, as it makes one familar with the properties of that group.
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The central limit theorem still applies.\n\nWhen variables are correlated a principal component analysis will find the independent variables for which the CLT applies.
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All light waves dissipate through space in a wave function pattern.  When they interact with obstacles, these wave patterns can cause interference patterns like waves of water.
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What exactly do you mean by diffracted the most?
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Look for a pattern, then write your equation to fit the pattern.  One typical way is to find the differences between each consecutive pair of terms (called the first differences) and then find the difference of consecutive first differences (called second differences).  If the second differences are all the same, you know you have a quadratic pattern, with x^2 in it.
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ñ = n - iκ\n\nHere, n is the refractive index indicating the phase velocity as above, while κ is called the extinction coefficient, which indicates the amount of absorption loss when the electromagnetic wave propagates through the material. Both n and κ are dependent on the frequency (wavelength).
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Seed dispersal is the main process linking the spatial pattern of parent plants with that of their offspring (Harper 1977, Howe and Smallwood 1982, Willson 1992, Venable and Brown 1993, Chambers and MacMahon 1994, Schupp and Fuentes 1995). The spatial pattern of dispersed seeds serves as a template for subsequent processes such as predation, germination, competition, and growth that ultimately shape the spatial pattern of adult plants. The basic component of this spatial pattern is usually described by the "dispersal curve," showing the change, typically a rapid decline, in the density of dispersed seeds with increasing distance from the parent plant (Harper 1977, Okubo and Levin 1989, Willson 1993). In investigating the spatial pattern of tree regeneration in tropical forests, Janzen (1970) combined this dispersal curve with two other functions describing the change with distance in the per capita probability of seed survival to maturity (the "survivorship curve"), and in the density of recruits (the popula tion "recruitment curve"). Janzen (1970) and Connell (1971) proposed the escape hypothesis (Howe and Smallwood 1982), suggesting a positive slope of the survivorship curve, determined by the high mortality of progeny (seeds and seedlings) in the vicinity of adult plants, due to seed predators, parasites, pathogens, and seedling herbivores. They predicted that recruitment should occur mostly at some distance away from parent plants, whereas Hubbell (1980) argued that, with realistic dispersal and survivorship curves, recruitment should always be higher near adults because of the disproportionately high seed densities there. McCanny (1985) demonstrated how different slopes of the survivorship curve can produce, out of the same dispersal curve, positive (Janzen-Connell model), zero, and negative (Hubbell's model) slopes of the recruitment curves.
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Diffusion is the flow of particles down the concentration gradient. Meaning that particles are flowing from an area of high concentration to an area of low concentration. Two examples are this occuring around your house are\n1. when you take a bubble bath. Even if you were to pour the bubbles in after the water stopped runnning the bubble mixture would still spread evenly throughout the water by simple diffusion.\n2. when you light a scented cande. The scent travels throughout the whole house because it travels from an area of high concentration (right above the candle) to the rest of the areas around the house that have low concentrations of the scent.\nGood? next time do your homework yourself :)
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http://www.chm.davidson.edu/ChemistryApplets/PhaseChanges/PhaseDiagram.html  (This one is a six part series and has some interactive buttons so you can see how it works.)\n\nhttp://www.chemistrycoach.com/Phase_diagram.htm\n\nhttp://en.wikipedia.org/wiki/Phase_diagram\nhttp://commons.wikimedia.org/wiki/Phase_diagram
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They are distributed based on where the specific minerals are located.  For example, the diamond industry is located in areas like South Africa where there are large diamond deposits.
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The measurement of a river’s meander is quantified with a value known as sinuosity index. For single channel rivers, excluding braided channels, this is defined as :\n\nSI = length of channel axis/length of meander belt axis\n\nThis sinuosity index has been used to separate single channel rivers into three general classes: straight (SI < 1.05), sinuous (SI 1.05-1.5), and meandering (SI > 1.5)\n\nGenerally as gradient decreases, the sinuosity index increases.  To say that meandering causes changes in gradient would be misleading. The overall channel pattern is a response by the river to balance its energy expenditures as it carries load and discharge. The river’s tendency to meander is related to its discharge, and its type and amount of sediment load as well as the gradient.\n\nWavelength and amplitude of river meanders are not random. They are controlled by aspects of overall load, discharge, and gradient. In addition to lateral migration of channels, there is a long-channel variation that forms patterns of riffles and pools.  These riffle-pool patterns  which are related to flow cells tend to initiate bank erosion and develop meander bends.\n\nMount, Jeffrey F. 1995\n“California Rivers and Streams:  The Conflict Between Fluvial Process and Land Use”\n\n\nI’m a geologist.
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All these produce a change in path of incident ray of light but reasons and effects are different in each:\n\nDiffraction -- bending of light round the edges and corners, while passing through slits/holes/wires in the same medium. produces a pattern of alternate bands/fringes ( minimum/maximum intensity). they are maximum intense at the center of the path and fades of - on both the sides\nshape of bands/fringes depends on the shape of obstacle(hole/slit/wire/edge)\n\nRefraction -  bending of light , when it passes from one medium to another of a different refractive index, no pattern produced. no change in the intensity if the second medium does not reflect/absorb part of incident light.\n\nReflection: Change of path of light ray due to reflection, i.e the reflected ray is in the same medium as the second medium simply does neither absorbs nor allows it to pass through it. No change in the intensity and no pattern produced.\n\ndispersion -  splitting of incident lightray into its constituent wavelengths, when it passes through a medium (like prism). every wavelength gets deviated from incident path through a different angle (angle of dispersion), hence you can see different colors of visible light.
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Different wavelength (colour) of Light when passed through prism refract (bend) by diferent angles...\nWhen red light is passed .. as it is composed by only on single wavelength, it, as a whole, bends by the same angle..\nSo, there will be a deviation, but no spliiting....\n\nWhite light has many colours super imposed ( made of many wavelength) and hence each component bends by diferent angles ... causing \nwhat is called, Dispersion.of white light
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The intensity in a rectangular difraccion pattern is given by: \nI(theta)= I(0) [Sin (beta)/beta]^2\n\nThe minima are located where sin(beta)=0\n\nSo thats why you have to put beta=n*Pi as the condition to find a minimun\n\nMaxima are located at tan(beta)=beta which is a non analytical ecuation but a solution can be found graphically or numerically\n\nMaxima are at theta= 1.4306*pi    2.4590pi  3.4707pi