It enables us to tell the difference between observed and expected frequencies objectively as it is practically impossible to tell the difference just by looking at the data.
This is concerned with frequency. Can be used to test whether the observed frequencies in a particular case differ significantly from those which would be expected in the null hypothesis. source: analysis related lectures
The plural of frequency is frequencies. As in "radio waves travel on different frequencies".
Absolute frequencies are calculated by first identifying intervals based on your data and then identifying the number of values within your data set that lie within these interval. Relative frequencies divide the absolute frequencues by the number of values in the set. It is a good practice to provide the absolute frequencies, perhaps in a bar chart of relative frequencies as a number above each bar.
Not enough information - nature of step progression towards critical value has to be specified (sample size, linear vs. logarithmic vs. whatever, etc.).
The maximum likelihood estimate under the null hypothesis gives the best estimate for expected frequencies.
You first decide on a null hypothesis. Expected frequencies are calculated on the basis of the null hypothesis, that is, assuming that the null hypothesis is true.
No, fundamental frequencies and overtones are not typically referred to as resonance frequencies. Resonance frequencies are specific frequencies at which an object naturally vibrates or oscillates when subjected to external forces. Fundamental frequencies are the lowest frequency at which an object can vibrate, while overtones are multiples of the fundamental frequency.
Sound quality is the term for the bending of overlapping sound wave frequencies through interference.
Expected frequencies are used in a chi-squared "goodness-of-fit" test. there is a hypothesis that is being tested and, under that hypothesis, the random variable would have a certain distribution. The expected frequency for a "cell" is the number of observations that you would expect to find in that cell if the hypothesis were true.
Adventitious is one medical term meaning not expected.
No, sound waves with frequencies higher than 20,000 Hz are referred to as ultrasonic waves, not subsonic waves. Subsonic waves are sound waves with frequencies lower than 20 Hz.
This statement is incorrect. Sound waves with frequencies higher than 20000 Hz are referred to as ultrasonic waves, not subsonic waves. Subsonic waves have frequencies lower than the audible range.
The null hypothesis in a chi-square goodness-of-fit test states that the sample of observed frequencies supports the claim about the expected frequencies. So the bigger the the calculated chi-square value is, the more likely the sample does not conform the expected frequencies, and therefore you would reject the null hypothesis. So the short answer is, REJECT!
Inaudible sounds are sounds that you cannot hear. Audible sounds are sounds that you can hear. Frequencies capable of being heard by humans are called audio or sonic. The range is typically considered to be between 20Hz and 20,000Hz.[3] Frequencies higher than audio are referred to as ultrasonic, while frequencies below audio are referred to as infrasonic
The way you are expected to act by others is referred to as etiquette or manners.
Materials which do not allow the transmission of light are called opaque. These substances have chemical compositions, some of which are referred to as absorption centers. This means that the material absorbs all of the light wave frequencies, not just some while reflecting other frequencies.