frequency plot - number of counts relative frequency - number of counts/ total counts cumulative frequency - number of counts that are cumulatively summed cumulative relative frequency that are cumulatively summed. Examples: Let y = accidents per day for one week, and x = days of the week (1 to 7) y = (0, 0, 1, 2, 1, 5,1) for X = 1, 2, ... 7 frequency counts y = (0,0, 0.1,0.2,0.1, 0.5, 0.1) relative frequency y = (0,0,1,3,4,9,10) = cumulative frequency y = (0, 0, 0.1,0.3,0,0.4,0.9,1) cumulative relative frequency
A cumulative frequency polygon has straight lines connecting the points. A normal cumulative frequency diagram uses a smooth curve to join the points.
Frequency distribution refers to a set of frequencies with a particular set of values into which a statistical population is grouped. Relative frequency refers to data presented in a table that demonstrates the relative frequency of multiple non-overlapping classes.
it shows the realtive distinction between a varied set of data. the bars show wight, not height
There is no such equation. The main reason is that there is no relationship between current and frequency.
Both divide the data into discrete groups or intervals. The frequency histogram gives the number of times the data occur in the particular group or interval, while the relative frequency histogram gives the fraction of times the data occur in the particular group or interval.
The relative frequency is an estimate of the probability of an event.
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A cumulative frequency polygon has straight lines connecting the points. A normal cumulative frequency diagram uses a smooth curve to join the points.
The relationship between frequency and wavelength is inverse: as frequency increases, wavelength decreases, and vice versa. This is because frequency and wavelength are inversely proportional in a wave, such as in electromagnetic waves.
The relationship between frequency and wavelength is inverse. This means that as the frequency of a wave increases, its wavelength decreases, and vice versa. This relationship is described by the equation: frequency = speed of light / wavelength.
Frequency distribution refers to a set of frequencies with a particular set of values into which a statistical population is grouped. Relative frequency refers to data presented in a table that demonstrates the relative frequency of multiple non-overlapping classes.
Frequancy Tables only use whole numbers while relative frequency tables use exact percentages or decimals.
speed = frequency x wavelength
The first is more commonly used and, in a usual graph, goes from bottom left to top right. The second goes from top left to bottom right. Both are equally valid.
It shows the correlation presented between the frequency something was brought ( or what ever it is that is being measured,) and compare this to how much/ often this was sold, made, etc.
it shows the realtive distinction between a varied set of data. the bars show wight, not height