class width times frequency density gives you the frequency
Frequency Density multiplied by the class width
It should reveal the frequency density of the variable for the well-defined classes. From this, it should be easy to work out the exact frequency in each class.
Everyone including books and people answering on this website get this wrong. It does matter and the rule is simple. If your horizontal access is something where it is not possible to rank in any special order- for example favourite crisp flavours or different ways of getting to work - then the bars are separate. I think spacing of a third or half the bar width looks neatest. If you have a horizontal axis of some grouped data, like length of leaves, then you have a histogram and the bars touch. Strictly a histogram has a vertical axis of density to accommodate different width groupings. In many cases all the widths are identical and you have a simple frequency up the vertical axis. There does not seem any unaminity of the correct name for this animal. On the one hand I'd use "histogram" so it's clear the bars touch but then some purists object because the vertical axis isn't density. On balance I'd still call it a histogram.
A histogram consists of rectangular bars. The area of each is its base times its height. Multiply these together, ensuring that you include any scale factors in your calculations.
take the values from the chart and then add all the observations by total number of observation! it is good that it is not a polygon!
Frequency Density multiplied by the class width
It should reveal the frequency density of the variable for the well-defined classes. From this, it should be easy to work out the exact frequency in each class.
basically this is an exampleAGE (YEARS) FREQUENCY FREQUENCY DENSITYFD= Frequency DensityAge : 0
Everyone including books and people answering on this website get this wrong. It does matter and the rule is simple. If your horizontal access is something where it is not possible to rank in any special order- for example favourite crisp flavours or different ways of getting to work - then the bars are separate. I think spacing of a third or half the bar width looks neatest. If you have a horizontal axis of some grouped data, like length of leaves, then you have a histogram and the bars touch. Strictly a histogram has a vertical axis of density to accommodate different width groupings. In many cases all the widths are identical and you have a simple frequency up the vertical axis. There does not seem any unaminity of the correct name for this animal. On the one hand I'd use "histogram" so it's clear the bars touch but then some purists object because the vertical axis isn't density. On balance I'd still call it a histogram.
A histogram consists of rectangular bars. The area of each is its base times its height. Multiply these together, ensuring that you include any scale factors in your calculations.
take the values from the chart and then add all the observations by total number of observation! it is good that it is not a polygon!
No, frequency is about how often.
The tone, or frequency of sound depends on the density of the medium that it is travelling through. Without information about the composition of the natural gas, it temperature and pressure, it is not possible to work out its density and so the tone of sounds propagating through it.
There are many types density, like true density, tap density, bulk density etc. Can use analyzer like G-DenPyc 2900 gas pycnometer analyzer to measure them. Aerometer or Hydrometer for density of liquids, Dasymeter for density of gases and Resonant Frequency and Damping Analyser (RFDA) for density of solids.
divide the mass by the volume: mass/volume=density
The threshold frequency is the minimum frequency of light required to eject electrons from a metal surface (photoelectric effect). The work function is the minimum energy needed to remove an electron from the metal surface. The threshold frequency is directly related to the work function through the equation E = hf, where E is the energy, h is Planck's constant, and f is the frequency.
Threshold frequency is the minimum frequency of light required to eject an electron from a metal surface, while work function is the minimum energy required to remove an electron from the metal. The threshold frequency is directly related to the work function by the equation E = hf, where E is the energy required, h is Planck's constant, and f is the frequency of the incident light.