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What electromagnetic wave frequencies are between infrared and ultraviolet wave frequencies?
All of the frequencies of the visible spectrum, or about 430-790 THz. Red light has a wavelength of about 700 nanometers and violet light has a shorter wavelength about 400 nanoes and so we can see those colours and anything in between like green and yellow. When the wavelength is a bit too short to be seen we call it ultra-violet, and wavelengths a bit too long we call infra-red.
This answer talks about wavelengths while the question asks about frequencies. Sorry, but its easier for me to talk about wavelengths. To answer the question fully, wavelengths can be turned into frequencies by dividing the speed of light (30,000,000 metres per second) by the wavlength. That makes a wavelength of 400 nanoes into a frequency of 30,000,000 / 0.0000004 = 75,000,000,000,000 cycles per second (Hertz). 700 nano red light has a frequency of about 43,000,000,000,0000 Hertz.
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What is infrared frequency in scientific notation?
Infrared radiation has frequencies between 3*10^11 and 4*10^14 Hertz.
What are waves that have wavelengths between one thousandth and 0.7 millionths of a meter known as?
known as infrared waves:)
Waves with wavelengths between one thousandth and 700 billionths of a meter?
They are called infrared waves! Happy to help :), friend.
What is planck constant?
Planck's constant describes the ratio between the energy of an electromagnetic wave and the frequency of that wave.
What is the difference between the goodness of fit test and the contingency test?
Goodness of fit test is used to test a single population. The null hypothesis will be that the observed frequencies are equal to expected frequencies (based on computed intrinsic values given the extrinsic values). A good example would be comparing observed phenotype frequencies against expected frequencies calculated from the parental genotypes (Simple dominance gives rise to 1:2:1 ratio with two parental heterozygotes). Contingency test is used to see whether or not different populations are associated. The null hypothesis will be that that different populations are independent of one another. A good example would be comparing the effect of different host plants on different populations of insects. (Effect of Host A on Insect population 1, 2, 3; Effect of Host B on Insect population 1, 2, 3; etc)
