Conclusions based on missing frequencies are likely to be seriously flawed. However, if the data follow a known distribution, it may be possible to get some indication of the likely values for the missing frequencies. Nevertheless, this would weaken any conclusions.
To find a missing frequency in a dataset, you can use the total frequency and the known frequencies of other categories. First, sum the known frequencies and subtract this sum from the total frequency to determine the missing frequency. If you have additional information, such as the total sum of values or proportions, you can also use that to help identify the missing frequency.
A=14,b=8
The missing resonant frequency below 200 Hz is 150 Hz. This can be determined by observing that the given resonant frequencies are spaced evenly at intervals of 50 Hz, and 150 Hz fits this pattern.
The answer depends on what information you do have.
How do you find missed frequency if median and mode are given
You cannot - except in very trivial cases.
commonest type of missingness in research
Tar Chen has written: 'Mixed-up frequencies and missing data in contingency tables'
valid percent = Frequency/# of non missing cases x 100
check 10th board's algebra text book nd u'll get ur ans der...
Statistics do not exist that break down the figure that narrow a range.
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