General rules of constructing Frequency table General rules of constructing Frequency table
Marginal frequency refers to the total count of occurrences of a particular category or value in a dataset, typically presented in the margins of a frequency table. It shows how many times each category appears without considering the relationship between different categories. For example, in a contingency table, the marginal frequencies for each row and column provide insights into the overall distribution of data. This concept is useful for summarizing data and understanding its overall trends.
the times table in 2009 is the same from this year
YES TIME-TABLE including seat number with the help of prn number
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The table that has primary key is strong entity and the table that has no primary key is weak entity
There are a few general rules. A histogram is the presentation of a frequency table. The bins should cover the entire set of data, and should be equal intervals. There is no absolute rule on the number of bins, however there are equations as shown in the related links, which suggests a number of bins.
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parts of frequency table
First, you need a frequency table.
The frequency in a frequency table is the number of occurrences within each class width. The total frequency is the sum of all frequency's within all the classes.
A frequency table is a table that shows in numbers how many items are in several categories.
A pictorial representation of a frequency table is called a histogram.