Explain frequency distribution with unequal classes with explain.
Answers
Answer:
Applications
Managing and Operating on frequency tabulated data is much simpler than operation on raw data. There are simple algorithms to calculate median, mean, standard deviation etc. from these tables.
Statistical hypothesis testing is founded on the assessment of differences and similarities between frequency distributions. This assessment involves measures of central tendency or averages, such as the mean and median, and measures of variability or statistical dispersion, such as the standard deviation or variance.
A frequency distribution is said to be skewed when its mean and median are different, or more generally when it is asymmetric, depending on the textbook. The kurtosis of a frequency distribution measures the rare, extreme values, which appear as outliers in a histogram. If the distribution is more outlier-prone than the normal distribution it is said to be leptokurtic; if less outlier-prone it is said to be platykurtic.
Letter frequency distributions are also used in frequency analysis to crack ciphers, and are used to compare the relative frequency of letters in different languages.