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Relative Frequency
This type of probability requires us to make some qualifications. We define probability of event A, occurring as the proportion of times A occurs, if we repeat the experiment several times under the same or similar conditions.
Example
Consider the following distribution of salaries in a finance company for February, 2002.
Salaries (Rs.)
Frequency
Relative Frequency (%)
2,000 - 5,000
2
4%
5,000 - 8,000
11
22%
8,000 - 11,000
18
36%
11,000 - 14,000
10
20%
14,000 - 17,000
7
14%
17,000 - 20,000
50
100%
For a subsequent month the salaries are likely to have the same distributions unless employees leave or have their salaries raised, or new people join. Hence we have the following probabilities obtained from the above relative frequencies.
Probability
These probabilities give the chance that an employee chosen at random will be in a particular salary class. For example, the probability of an employee's salary being Rs.5,000 - Rs.8,000 is 22%.
Frequency Distribution or Variance Ratio Distribution This was developed by R. A Fisher in 1924 and is normally defined in terms of the ratio of the variances of two usually d
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