The 2k or 2 to K rule is used to determine the number of classes for a frequency distribution. The 2k rule should be used as a guide more than a dictator of determining the number of classes for a frequency distribution.
In a bar graph, the height of the bars is relative to the frequency. In a histogram, the area of the bars is relative to the frequency. Because it deals with area, the label on the y-axis is "frequency density" rather than just "frequency"
Yes. Often hundreds and sometimes (eg in a population Census), millions.
As the mean is greater than the median it will be positively skewed (skewed to the right), and if the median is larger than the mean it will be negatively skewed (skewed to the left)
the frequency is less than OR EQUAL TO the cumulative frequency
These help to distribute the frequency much better than the latter. The noise might not be as loud or boisterous this way.
you are aw some * * * * * Sadly you are not since you can't even spell the word. Relative frequency would be better because the two groups may be of different size.
It is not. It depends on what question you want to answer. They are both equally informative, but in different circumstances.the CRFD can be used to determine a summary of proportion of observations that lies above(or below) a particular value in a data set which the RFD cannot
The cumulative frequency distribution for a value x of a random variable X, is a count of the number of observations in which X is less than or equal to x. The cumulative frequency distribution for a value x of a random variable X, is a count of the number of observations in which X is less than or equal to x. The cumulative frequency distribution for a value x of a random variable X, is a count of the number of observations in which X is less than or equal to x. The cumulative frequency distribution for a value x of a random variable X, is a count of the number of observations in which X is less than or equal to x.
The wave length and frequency of course vary, the frequency ranges from 3kHz to 300 GHz. The wavelengths are longer than infrared.
If the cumulative relative frequency when the variable X takes the value x, it means that 0.4 (or 40%) of the values of the variable X are less than or equal to x.
The 2k or 2 to K rule is used to determine the number of classes for a frequency distribution. The 2k rule should be used as a guide more than a dictator of determining the number of classes for a frequency distribution.
The observed frequency can be greater than the frequency of the source due to the Doppler effect, where the relative motion between the source and observer causes a shift in the frequency of the wave. When the source is moving towards the observer, the observed frequency is higher, and when the source is moving away, the observed frequency is lower.
It may not be better, but there is a lot of information on the normal distribution. It is one of the most widely used in statistics.
In a bar graph, the height of the bars is relative to the frequency. In a histogram, the area of the bars is relative to the frequency. Because it deals with area, the label on the y-axis is "frequency density" rather than just "frequency"
Yes. If the sample is a random drawing from the population, then as the size increases, the relative frequency of each interval from the sample should be a better estimate of the relative frequency in the population. Now, in practical terms, increasing a small sample will have a larger effect than increasing a large sample. For example, increasing a sample from 10 to 100 will have a larger effect than increasing a sample from 1000 to 10,000. The one exception to this, that I can think of, is if the focus of the study is on a very rare occurrence.
It's not a problem. But it's better when FSB frequency is higher than RAM frequency.